TRANSLATING MODEL 'discrete_power_law' FROM Stan CODE TO C++ CODE NOW.
successful in parsing the Stan model 'discrete_power_law'.
OS: x86_64, linux-gnu; rstan: 2.18.2; Rcpp: 1.0.0; inline: 0.3.15 
 >> setting environment variables: 
PKG_LIBS =  -L'/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/lib/' -lStanHeaders
PKG_CPPFLAGS =   -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/Rcpp/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/unsupported"  -I"/usr/include/boost/" -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS
 >> Program source :

   1 : 
   2 : // includes from the plugin
   3 : // [[Rcpp::plugins(cpp14)]]
   4 : 
   5 : // user includes
   6 : #define STAN__SERVICES__COMMAND_HPP// Code generated by Stan version 2.18.0
   7 : 
   8 : #include <stan/model/model_header.hpp>
   9 : 
  10 : namespace model36aa26ddf5ed_discrete_power_law_namespace {
  11 : 
  12 : using std::istream;
  13 : using std::string;
  14 : using std::stringstream;
  15 : using std::vector;
  16 : using stan::io::dump;
  17 : using stan::math::lgamma;
  18 : using stan::model::prob_grad;
  19 : using namespace stan::math;
  20 : 
  21 : static int current_statement_begin__;
  22 : 
  23 : stan::io::program_reader prog_reader__() {
  24 :     stan::io::program_reader reader;
  25 :     reader.add_event(0, 0, "start", "model36aa26ddf5ed_discrete_power_law");
  26 :     reader.add_event(20, 18, "end", "model36aa26ddf5ed_discrete_power_law");
  27 :     return reader;
  28 : }
  29 : 
  30 : template <typename T0__>
  31 : typename boost::math::tools::promote_args<T0__>::type
  32 : zeta(const T0__& s, std::ostream* pstream__);
  33 : 
  34 : template <bool propto, typename T1__>
  35 : typename boost::math::tools::promote_args<T1__>::type
  36 : power_law_lpmf(const int& x,
  37 :                    const T1__& alpha, std::ostream* pstream__) {
  38 :     typedef typename boost::math::tools::promote_args<T1__>::type local_scalar_t__;
  39 :     typedef local_scalar_t__ fun_return_scalar_t__;
  40 :     const static bool propto__ = true;
  41 :     (void) propto__;
  42 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
  43 :         (void) DUMMY_VAR__;  // suppress unused var warning
  44 : 
  45 :     int current_statement_begin__ = -1;
  46 :     try {
  47 : 
  48 :         current_statement_begin__ = 4;
  49 :         return stan::math::promote_scalar<fun_return_scalar_t__>(((-(alpha) * stan::math::log(x)) - stan::math::log(zeta(alpha, pstream__))));
  50 :     } catch (const std::exception& e) {
  51 :         stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
  52 :         // Next line prevents compiler griping about no return
  53 :         throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
  54 :     }
  55 : }
  56 : template <typename T1__>
  57 : typename boost::math::tools::promote_args<T1__>::type
  58 : power_law_lpmf(const int& x,
  59 :                    const T1__& alpha, std::ostream* pstream__) {
  60 :     return power_law_lpmf<false>(x,alpha, pstream__);
  61 : }
  62 : 
  63 : 
  64 : struct power_law_lpmf_functor__ {
  65 :     template <bool propto, typename T1__>
  66 :         typename boost::math::tools::promote_args<T1__>::type
  67 :     operator()(const int& x,
  68 :                    const T1__& alpha, std::ostream* pstream__) const {
  69 :         return power_law_lpmf(x, alpha, pstream__);
  70 :     }
  71 : };
  72 : 
  73 : /usr/include/boost/math/special_functions/zeta.hpp class model36aa26ddf5ed_discrete_power_law : public prob_grad {
  74 : private:
  75 :     int K;
  76 :     vector<int> values;
  77 :     vector<int> frequencies;
  78 : public:
  79 :     model36aa26ddf5ed_discrete_power_law(stan::io::var_context& context__,
  80 :         std::ostream* pstream__ = 0)
  81 :         : prob_grad(0) {
  82 :         ctor_body(context__, 0, pstream__);
  83 :     }
  84 : 
  85 :     model36aa26ddf5ed_discrete_power_law(stan::io::var_context& context__,
  86 :         unsigned int random_seed__,
  87 :         std::ostream* pstream__ = 0)
  88 :         : prob_grad(0) {
  89 :         ctor_body(context__, random_seed__, pstream__);
  90 :     }
  91 : 
  92 :     void ctor_body(stan::io::var_context& context__,
  93 :                    unsigned int random_seed__,
  94 :                    std::ostream* pstream__) {
  95 :         typedef double local_scalar_t__;
  96 : 
  97 :         boost::ecuyer1988 base_rng__ =
  98 :           stan::services::util::create_rng(random_seed__, 0);
  99 :         (void) base_rng__;  // suppress unused var warning
 100 : 
 101 :         current_statement_begin__ = -1;
 102 : 
 103 :         static const char* function__ = "model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law";
 104 :         (void) function__;  // dummy to suppress unused var warning
 105 :         size_t pos__;
 106 :         (void) pos__;  // dummy to suppress unused var warning
 107 :         std::vector<int> vals_i__;
 108 :         std::vector<double> vals_r__;
 109 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 110 :         (void) DUMMY_VAR__;  // suppress unused var warning
 111 : 
 112 :         // initialize member variables
 113 :         try {
 114 :             current_statement_begin__ = 9;
 115 :             context__.validate_dims("data initialization", "K", "int", context__.to_vec());
 116 :             K = int(0);
 117 :             vals_i__ = context__.vals_i("K");
 118 :             pos__ = 0;
 119 :             K = vals_i__[pos__++];
 120 :             current_statement_begin__ = 10;
 121 :             validate_non_negative_index("values", "K", K);
 122 :             context__.validate_dims("data initialization", "values", "int", context__.to_vec(K));
 123 :             validate_non_negative_index("values", "K", K);
 124 :             values = std::vector<int>(K,int(0));
 125 :             vals_i__ = context__.vals_i("values");
 126 :             pos__ = 0;
 127 :             size_t values_limit_0__ = K;
 128 :             for (size_t i_0__ = 0; i_0__ < values_limit_0__; ++i_0__) {
 129 :                 values[i_0__] = vals_i__[pos__++];
 130 :             }
 131 :             current_statement_begin__ = 11;
 132 :             validate_non_negative_index("frequencies", "K", K);
 133 :             context__.validate_dims("data initialization", "frequencies", "int", context__.to_vec(K));
 134 :             validate_non_negative_index("frequencies", "K", K);
 135 :             frequencies = std::vector<int>(K,int(0));
 136 :             vals_i__ = context__.vals_i("frequencies");
 137 :             pos__ = 0;
 138 :             size_t frequencies_limit_0__ = K;
 139 :             for (size_t i_0__ = 0; i_0__ < frequencies_limit_0__; ++i_0__) {
 140 :                 frequencies[i_0__] = vals_i__[pos__++];
 141 :             }
 142 : 
 143 :             // validate, data variables
 144 :             current_statement_begin__ = 9;
 145 :             check_greater_or_equal(function__,"K",K,0);
 146 :             current_statement_begin__ = 10;
 147 :             current_statement_begin__ = 11;
 148 :             for (int k0__ = 0; k0__ < K; ++k0__) {
 149 :                 check_greater_or_equal(function__,"frequencies[k0__]",frequencies[k0__],0);
 150 :             }
 151 :             // initialize data variables
 152 : 
 153 : 
 154 :             // validate transformed data
 155 : 
 156 :             // validate, set parameter ranges
 157 :             num_params_r__ = 0U;
 158 :             param_ranges_i__.clear();
 159 :             current_statement_begin__ = 14;
 160 :             ++num_params_r__;
 161 :         } catch (const std::exception& e) {
 162 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 163 :             // Next line prevents compiler griping about no return
 164 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 165 :         }
 166 :     }
 167 : 
 168 :     ~model36aa26ddf5ed_discrete_power_law() { }
 169 : 
 170 : 
 171 :     void transform_inits(const stan::io::var_context& context__,
 172 :                          std::vector<int>& params_i__,
 173 :                          std::vector<double>& params_r__,
 174 :                          std::ostream* pstream__) const {
 175 :         stan::io::writer<double> writer__(params_r__,params_i__);
 176 :         size_t pos__;
 177 :         (void) pos__; // dummy call to supress warning
 178 :         std::vector<double> vals_r__;
 179 :         std::vector<int> vals_i__;
 180 : 
 181 :         if (!(context__.contains_r("alpha")))
 182 :             throw std::runtime_error("variable alpha missing");
 183 :         vals_r__ = context__.vals_r("alpha");
 184 :         pos__ = 0U;
 185 :         context__.validate_dims("initialization", "alpha", "double", context__.to_vec());
 186 :         double alpha(0);
 187 :         alpha = vals_r__[pos__++];
 188 :         try {
 189 :             writer__.scalar_lb_unconstrain(1,alpha);
 190 :         } catch (const std::exception& e) { 
 191 :             throw std::runtime_error(std::string("Error transforming variable alpha: ") + e.what());
 192 :         }
 193 : 
 194 :         params_r__ = writer__.data_r();
 195 :         params_i__ = writer__.data_i();
 196 :     }
 197 : 
 198 :     void transform_inits(const stan::io::var_context& context,
 199 :                          Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
 200 :                          std::ostream* pstream__) const {
 201 :       std::vector<double> params_r_vec;
 202 :       std::vector<int> params_i_vec;
 203 :       transform_inits(context, params_i_vec, params_r_vec, pstream__);
 204 :       params_r.resize(params_r_vec.size());
 205 :       for (int i = 0; i < params_r.size(); ++i)
 206 :         params_r(i) = params_r_vec[i];
 207 :     }
 208 : 
 209 : 
 210 :     template <bool propto__, bool jacobian__, typename T__>
 211 :     T__ log_prob(vector<T__>& params_r__,
 212 :                  vector<int>& params_i__,
 213 :                  std::ostream* pstream__ = 0) const {
 214 : 
 215 :         typedef T__ local_scalar_t__;
 216 : 
 217 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 218 :         (void) DUMMY_VAR__;  // suppress unused var warning
 219 : 
 220 :         T__ lp__(0.0);
 221 :         stan::math::accumulator<T__> lp_accum__;
 222 : 
 223 :         try {
 224 :             // model parameters
 225 :             stan::io::reader<local_scalar_t__> in__(params_r__,params_i__);
 226 : 
 227 :             local_scalar_t__ alpha;
 228 :             (void) alpha;  // dummy to suppress unused var warning
 229 :             if (jacobian__)
 230 :                 alpha = in__.scalar_lb_constrain(1,lp__);
 231 :             else
 232 :                 alpha = in__.scalar_lb_constrain(1);
 233 : 
 234 : 
 235 :             // transformed parameters
 236 : 
 237 : 
 238 : 
 239 :             // validate transformed parameters
 240 : 
 241 :             const char* function__ = "validate transformed params";
 242 :             (void) function__;  // dummy to suppress unused var warning
 243 : 
 244 :             // model body
 245 : 
 246 :             current_statement_begin__ = 17;
 247 :             for (int k = 1; k <= K; ++k) {
 248 :                 current_statement_begin__ = 17;
 249 :                 lp_accum__.add((get_base1(frequencies,k,"frequencies",1) * power_law_lpmf(get_base1(values,k,"values",1),alpha, pstream__)));
 250 :             }
 251 : 
 252 :         } catch (const std::exception& e) {
 253 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 254 :             // Next line prevents compiler griping about no return
 255 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 256 :         }
 257 : 
 258 :         lp_accum__.add(lp__);
 259 :         return lp_accum__.sum();
 260 : 
 261 :     } // log_prob()
 262 : 
 263 :     template <bool propto, bool jacobian, typename T_>
 264 :     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
 265 :                std::ostream* pstream = 0) const {
 266 :       std::vector<T_> vec_params_r;
 267 :       vec_params_r.reserve(params_r.size());
 268 :       for (int i = 0; i < params_r.size(); ++i)
 269 :         vec_params_r.push_back(params_r(i));
 270 :       std::vector<int> vec_params_i;
 271 :       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
 272 :     }
 273 : 
 274 : 
 275 :     void get_param_names(std::vector<std::string>& names__) const {
 276 :         names__.resize(0);
 277 :         names__.push_back("alpha");
 278 :     }
 279 : 
 280 : 
 281 :     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
 282 :         dimss__.resize(0);
 283 :         std::vector<size_t> dims__;
 284 :         dims__.resize(0);
 285 :         dimss__.push_back(dims__);
 286 :     }
 287 : 
 288 :     template <typename RNG>
 289 :     void write_array(RNG& base_rng__,
 290 :                      std::vector<double>& params_r__,
 291 :                      std::vector<int>& params_i__,
 292 :                      std::vector<double>& vars__,
 293 :                      bool include_tparams__ = true,
 294 :                      bool include_gqs__ = true,
 295 :                      std::ostream* pstream__ = 0) const {
 296 :         typedef double local_scalar_t__;
 297 : 
 298 :         vars__.resize(0);
 299 :         stan::io::reader<local_scalar_t__> in__(params_r__,params_i__);
 300 :         static const char* function__ = "model36aa26ddf5ed_discrete_power_law_namespace::write_array";
 301 :         (void) function__;  // dummy to suppress unused var warning
 302 :         // read-transform, write parameters
 303 :         double alpha = in__.scalar_lb_constrain(1);
 304 :         vars__.push_back(alpha);
 305 : 
 306 :         // declare and define transformed parameters
 307 :         double lp__ = 0.0;
 308 :         (void) lp__;  // dummy to suppress unused var warning
 309 :         stan::math::accumulator<double> lp_accum__;
 310 : 
 311 :         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 312 :         (void) DUMMY_VAR__;  // suppress unused var warning
 313 : 
 314 :         try {
 315 : 
 316 : 
 317 : 
 318 :             // validate transformed parameters
 319 : 
 320 :             // write transformed parameters
 321 :             if (include_tparams__) {
 322 :             }
 323 :             if (!include_gqs__) return;
 324 :             // declare and define generated quantities
 325 : 
 326 : 
 327 : 
 328 :             // validate generated quantities
 329 : 
 330 :             // write generated quantities
 331 :         } catch (const std::exception& e) {
 332 :             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 333 :             // Next line prevents compiler griping about no return
 334 :             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 335 :         }
 336 :     }
 337 : 
 338 :     template <typename RNG>
 339 :     void write_array(RNG& base_rng,
 340 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
 341 :                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
 342 :                      bool include_tparams = true,
 343 :                      bool include_gqs = true,
 344 :                      std::ostream* pstream = 0) const {
 345 :       std::vector<double> params_r_vec(params_r.size());
 346 :       for (int i = 0; i < params_r.size(); ++i)
 347 :         params_r_vec[i] = params_r(i);
 348 :       std::vector<double> vars_vec;
 349 :       std::vector<int> params_i_vec;
 350 :       write_array(base_rng,params_r_vec,params_i_vec,vars_vec,include_tparams,include_gqs,pstream);
 351 :       vars.resize(vars_vec.size());
 352 :       for (int i = 0; i < vars.size(); ++i)
 353 :         vars(i) = vars_vec[i];
 354 :     }
 355 : 
 356 :     static std::string model_name() {
 357 :         return "model36aa26ddf5ed_discrete_power_law";
 358 :     }
 359 : 
 360 : 
 361 :     void constrained_param_names(std::vector<std::string>& param_names__,
 362 :                                  bool include_tparams__ = true,
 363 :                                  bool include_gqs__ = true) const {
 364 :         std::stringstream param_name_stream__;
 365 :         param_name_stream__.str(std::string());
 366 :         param_name_stream__ << "alpha";
 367 :         param_names__.push_back(param_name_stream__.str());
 368 : 
 369 :         if (!include_gqs__ && !include_tparams__) return;
 370 : 
 371 :         if (include_tparams__) {
 372 :         }
 373 : 
 374 : 
 375 :         if (!include_gqs__) return;
 376 :     }
 377 : 
 378 : 
 379 :     void unconstrained_param_names(std::vector<std::string>& param_names__,
 380 :                                    bool include_tparams__ = true,
 381 :                                    bool include_gqs__ = true) const {
 382 :         std::stringstream param_name_stream__;
 383 :         param_name_stream__.str(std::string());
 384 :         param_name_stream__ << "alpha";
 385 :         param_names__.push_back(param_name_stream__.str());
 386 : 
 387 :         if (!include_gqs__ && !include_tparams__) return;
 388 : 
 389 :         if (include_tparams__) {
 390 :         }
 391 : 
 392 : 
 393 :         if (!include_gqs__) return;
 394 :     }
 395 : 
 396 : }; // model
 397 : 
 398 : }
 399 : 
 400 : typedef model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law stan_model;
 401 : 
 402 : #include <rstan/rstaninc.hpp>
 403 : /**
 404 :  * Define Rcpp Module to expose stan_fit's functions to R.
 405 :  */
 406 : RCPP_MODULE(stan_fit4model36aa26ddf5ed_discrete_power_law_mod){
 407 :   Rcpp::class_<rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law,
 408 :                boost::random::ecuyer1988> >("stan_fit4model36aa26ddf5ed_discrete_power_law")
 409 :     // .constructor<Rcpp::List>()
 410 :     .constructor<SEXP, SEXP, SEXP>()
 411 :     // .constructor<SEXP, SEXP>()
 412 :     .method("call_sampler",
 413 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::call_sampler)
 414 :     .method("param_names",
 415 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names)
 416 :     .method("param_names_oi",
 417 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names_oi)
 418 :     .method("param_fnames_oi",
 419 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_fnames_oi)
 420 :     .method("param_dims",
 421 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims)
 422 :     .method("param_dims_oi",
 423 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims_oi)
 424 :     .method("update_param_oi",
 425 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::update_param_oi)
 426 :     .method("param_oi_tidx",
 427 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_oi_tidx)
 428 :     .method("grad_log_prob",
 429 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::grad_log_prob)
 430 :     .method("log_prob",
 431 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::log_prob)
 432 :     .method("unconstrain_pars",
 433 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrain_pars)
 434 :     .method("constrain_pars",
 435 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrain_pars)
 436 :     .method("num_pars_unconstrained",
 437 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::num_pars_unconstrained)
 438 :     .method("unconstrained_param_names",
 439 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrained_param_names)
 440 :     .method("constrained_param_names",
 441 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrained_param_names)
 442 :     .method("standalone_gqs",
 443 :             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::standalone_gqs)
 444 :   ;
 445 : }
 446 : 
 447 : // declarations
 448 : extern "C" {
 449 : SEXP file36aa2927b1c5( ) ;
 450 : }
 451 : 
 452 : // definition
 453 : 
 454 : SEXP file36aa2927b1c5(  ){
 455 :  return Rcpp::wrap("discrete_power_law");
 456 : }
 457 : 
 458 : 
Compilation argument:
 /usr/local/lib/R/bin/R CMD SHLIB file36aa2927b1c5.cpp 2> file36aa2927b1c5.cpp.err.txt 
g++ -std=gnu++14 -I"/usr/local/lib/R/include" -DNDEBUG   -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/Rcpp/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/unsupported"  -I"/usr/include/boost/" -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/"  -I"/home/max/R/x86_64-pc-linux-gnu-library/3.5/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -I/usr/local/include   -fpic  -g -O2 -c file36aa2927b1c5.cpp -o file36aa2927b1c5.o
/usr/local/lib/R/etc/Makeconf:168: recipe for target 'file36aa2927b1c5.o' failed
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:392:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128 {aka __vector(4) float}’ [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i {aka __vector(2) long long int}’ [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d {aka __vector(2) double}’ [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:392:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:374:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half {aka __vector(4) float}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<float>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type {aka __vector(4) float}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7:   required from ‘class Eigen::Quaternion<double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:10:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:10:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:284:8:   required from ‘struct Eigen::internal::traits<Eigen::PermutationMatrix<-1, -1, int> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:120:8:   required from ‘struct Eigen::internal::traits<Eigen::Transpositions<-1, -1, int> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:22:42:   required from ‘class Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:158:7:   required from ‘class Eigen::Transpositions<-1, -1, int>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:280:23:   required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:41:15:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:23:42:   required from ‘class Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:158:7:   required from ‘class Eigen::Transpositions<-1, -1, int>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:280:23:   required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:41:15:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type {aka __vector(2) long long int}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:29:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:41:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:29:29:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:25:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:33:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:112:33:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:62:17:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_rng.hpp:79:67:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:6:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:44:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:24:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:59:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:43:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:43:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:31:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:128:21:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:58:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:192:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from ‘struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:43:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:199:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:35:53:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:35:65:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:179:78:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:179:78:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:190:64:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:191:63:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:193:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:193:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:195:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
file36aa2927b1c5.cpp:73:1: error: expected unqualified-id before ‘/’ token
 /usr/include/boost/math/special_functions/zeta.hpp class model36aa26ddf5ed_discrete_power_law : public prob_grad {
 ^
file36aa2927b1c5.cpp:400:57: error: ‘model36aa26ddf5ed_discrete_power_law’ in namespace ‘model36aa26ddf5ed_discrete_power_law_namespace’ does not name a type
 typedef model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law stan_model;
                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:42:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:65:   recursively required by substitution of ‘template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:65:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:78:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:78:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:189:58:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:189:67:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:190:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:190:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:204:65:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:205:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:273:19:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:274:23:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:363:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:26:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:64:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:73:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:73:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:61:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:75:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:402:79:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
file36aa2927b1c5.cpp: In function ‘void _rcpp_module_stan_fit4model36aa26ddf5ed_discrete_power_law_mod_init()’:
file36aa2927b1c5.cpp:407:80: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
   Rcpp::class_<rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law,
                                                                                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:407:80: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:408:41: error: template argument 1 is invalid
                boost::random::ecuyer1988> >("stan_fit4model36aa26ddf5ed_discrete_power_law")
                                         ^
file36aa2927b1c5.cpp:408:43: error: template argument 1 is invalid
                boost::random::ecuyer1988> >("stan_fit4model36aa26ddf5ed_discrete_power_law")
                                           ^
file36aa2927b1c5.cpp:410:22: error: expected primary-expression before ‘,’ token
     .constructor<SEXP, SEXP, SEXP>()
                      ^
file36aa2927b1c5.cpp:410:28: error: expected primary-expression before ‘,’ token
     .constructor<SEXP, SEXP, SEXP>()
                            ^
file36aa2927b1c5.cpp:410:34: error: expected primary-expression before ‘>’ token
     .constructor<SEXP, SEXP, SEXP>()
                                  ^
file36aa2927b1c5.cpp:410:36: error: expected primary-expression before ‘)’ token
     .constructor<SEXP, SEXP, SEXP>()
                                    ^
file36aa2927b1c5.cpp:413:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::call_sampler)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:413:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:413:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::call_sampler)
                                                                                                                                             ^
file36aa2927b1c5.cpp:415:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:415:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:415:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names)
                                                                                                                                             ^
file36aa2927b1c5.cpp:417:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names_oi)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:417:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:417:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names_oi)
                                                                                                                                             ^
file36aa2927b1c5.cpp:419:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_fnames_oi)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:419:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:419:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_fnames_oi)
                                                                                                                                             ^
file36aa2927b1c5.cpp:421:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:421:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:421:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims)
                                                                                                                                             ^
file36aa2927b1c5.cpp:423:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims_oi)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:423:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:423:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims_oi)
                                                                                                                                             ^
file36aa2927b1c5.cpp:425:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::update_param_oi)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:425:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:425:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::update_param_oi)
                                                                                                                                             ^
file36aa2927b1c5.cpp:427:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_oi_tidx)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:427:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:427:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_oi_tidx)
                                                                                                                                             ^
file36aa2927b1c5.cpp:429:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::grad_log_prob)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:429:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:429:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::grad_log_prob)
                                                                                                                                             ^
file36aa2927b1c5.cpp:431:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::log_prob)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:431:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:431:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::log_prob)
                                                                                                                                             ^
file36aa2927b1c5.cpp:433:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrain_pars)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:433:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:433:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrain_pars)
                                                                                                                                             ^
file36aa2927b1c5.cpp:435:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrain_pars)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:435:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:435:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrain_pars)
                                                                                                                                             ^
file36aa2927b1c5.cpp:437:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::num_pars_unconstrained)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:437:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:437:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::num_pars_unconstrained)
                                                                                                                                             ^
file36aa2927b1c5.cpp:439:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrained_param_names)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:439:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:439:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrained_param_names)
                                                                                                                                             ^
file36aa2927b1c5.cpp:441:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrained_param_names)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:441:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:441:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrained_param_names)
                                                                                                                                             ^
file36aa2927b1c5.cpp:443:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::standalone_gqs)
                                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
file36aa2927b1c5.cpp:443:78: error: ‘model36aa26ddf5ed_discrete_power_law’ is not a member of ‘model36aa26ddf5ed_discrete_power_law_namespace’
file36aa2927b1c5.cpp:443:141: error: template argument 1 is invalid
             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::standalone_gqs)
                                                                                                                                             ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:85:44:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:245:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:85:52:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:245:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:118:17:   required from ‘Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:38:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:291:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:291:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:34:70:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:244:25:   required from ‘static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:491:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:491:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1532:86: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
               (SwappedTraits::LhsProgress!=8 || unpacket_traits<SResPacketHalf>::size==nr))
                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1584:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1585:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1586:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1587:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:46:19:   required from ‘static double stan::math::{anonymous}::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:135:21:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:48:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:77:35:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:97:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:116:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:491:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:48:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:295:10:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:46:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:345:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:351:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:351:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:367:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:372:58:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:380:34:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:34:70:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:244:34:   required from ‘static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:455:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:380:19:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:7:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:27:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:46:19:   required from ‘static double stan::math::{anonymous}::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:135:21:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:48:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:491:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28:   required from ‘static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:57:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:494:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:494:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:27:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:667:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:221:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:491:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:494:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:368:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43:   required from ‘Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType>::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:494:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:498:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:434:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = double]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
In file included from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:440:0,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file36aa2927b1c5.cpp:8:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/max/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/max/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type {aka __vector(2) double}’ [-Wignored-attributes]
   enum {
        ^
make: *** [file36aa2927b1c5.o] Error 1

ERROR(s) during compilation: source code errors or compiler configuration errors!

Program source:
  1: 
  2: // includes from the plugin
  3: // [[Rcpp::plugins(cpp14)]]
  4: 
  5: // user includes
  6: #define STAN__SERVICES__COMMAND_HPP// Code generated by Stan version 2.18.0
  7: 
  8: #include <stan/model/model_header.hpp>
  9: 
 10: namespace model36aa26ddf5ed_discrete_power_law_namespace {
 11: 
 12: using std::istream;
 13: using std::string;
 14: using std::stringstream;
 15: using std::vector;
 16: using stan::io::dump;
 17: using stan::math::lgamma;
 18: using stan::model::prob_grad;
 19: using namespace stan::math;
 20: 
 21: static int current_statement_begin__;
 22: 
 23: stan::io::program_reader prog_reader__() {
 24:     stan::io::program_reader reader;
 25:     reader.add_event(0, 0, "start", "model36aa26ddf5ed_discrete_power_law");
 26:     reader.add_event(20, 18, "end", "model36aa26ddf5ed_discrete_power_law");
 27:     return reader;
 28: }
 29: 
 30: template <typename T0__>
 31: typename boost::math::tools::promote_args<T0__>::type
 32: zeta(const T0__& s, std::ostream* pstream__);
 33: 
 34: template <bool propto, typename T1__>
 35: typename boost::math::tools::promote_args<T1__>::type
 36: power_law_lpmf(const int& x,
 37:                    const T1__& alpha, std::ostream* pstream__) {
 38:     typedef typename boost::math::tools::promote_args<T1__>::type local_scalar_t__;
 39:     typedef local_scalar_t__ fun_return_scalar_t__;
 40:     const static bool propto__ = true;
 41:     (void) propto__;
 42:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 43:         (void) DUMMY_VAR__;  // suppress unused var warning
 44: 
 45:     int current_statement_begin__ = -1;
 46:     try {
 47: 
 48:         current_statement_begin__ = 4;
 49:         return stan::math::promote_scalar<fun_return_scalar_t__>(((-(alpha) * stan::math::log(x)) - stan::math::log(zeta(alpha, pstream__))));
 50:     } catch (const std::exception& e) {
 51:         stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
 52:         // Next line prevents compiler griping about no return
 53:         throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
 54:     }
 55: }
 56: template <typename T1__>
 57: typename boost::math::tools::promote_args<T1__>::type
 58: power_law_lpmf(const int& x,
 59:                    const T1__& alpha, std::ostream* pstream__) {
 60:     return power_law_lpmf<false>(x,alpha, pstream__);
 61: }
 62: 
 63: 
 64: struct power_law_lpmf_functor__ {
 65:     template <bool propto, typename T1__>
 66:         typename boost::math::tools::promote_args<T1__>::type
 67:     operator()(const int& x,
 68:                    const T1__& alpha, std::ostream* pstream__) const {
 69:         return power_law_lpmf(x, alpha, pstream__);
 70:     }
 71: };
 72: 
 73: /usr/include/boost/math/special_functions/zeta.hpp class model36aa26ddf5ed_discrete_power_law : public prob_grad {
 74: private:
 75:     int K;
 76:     vector<int> values;
 77:     vector<int> frequencies;
 78: public:
 79:     model36aa26ddf5ed_discrete_power_law(stan::io::var_context& context__,
 80:         std::ostream* pstream__ = 0)
 81:         : prob_grad(0) {
 82:         ctor_body(context__, 0, pstream__);
 83:     }
 84: 
 85:     model36aa26ddf5ed_discrete_power_law(stan::io::var_context& context__,
 86:         unsigned int random_seed__,
 87:         std::ostream* pstream__ = 0)
 88:         : prob_grad(0) {
 89:         ctor_body(context__, random_seed__, pstream__);
 90:     }
 91: 
 92:     void ctor_body(stan::io::var_context& context__,
 93:                    unsigned int random_seed__,
 94:                    std::ostream* pstream__) {
 95:         typedef double local_scalar_t__;
 96: 
 97:         boost::ecuyer1988 base_rng__ =
 98:           stan::services::util::create_rng(random_seed__, 0);
 99:         (void) base_rng__;  // suppress unused var warning
100: 
101:         current_statement_begin__ = -1;
102: 
103:         static const char* function__ = "model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law";
104:         (void) function__;  // dummy to suppress unused var warning
105:         size_t pos__;
106:         (void) pos__;  // dummy to suppress unused var warning
107:         std::vector<int> vals_i__;
108:         std::vector<double> vals_r__;
109:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
110:         (void) DUMMY_VAR__;  // suppress unused var warning
111: 
112:         // initialize member variables
113:         try {
114:             current_statement_begin__ = 9;
115:             context__.validate_dims("data initialization", "K", "int", context__.to_vec());
116:             K = int(0);
117:             vals_i__ = context__.vals_i("K");
118:             pos__ = 0;
119:             K = vals_i__[pos__++];
120:             current_statement_begin__ = 10;
121:             validate_non_negative_index("values", "K", K);
122:             context__.validate_dims("data initialization", "values", "int", context__.to_vec(K));
123:             validate_non_negative_index("values", "K", K);
124:             values = std::vector<int>(K,int(0));
125:             vals_i__ = context__.vals_i("values");
126:             pos__ = 0;
127:             size_t values_limit_0__ = K;
128:             for (size_t i_0__ = 0; i_0__ < values_limit_0__; ++i_0__) {
129:                 values[i_0__] = vals_i__[pos__++];
130:             }
131:             current_statement_begin__ = 11;
132:             validate_non_negative_index("frequencies", "K", K);
133:             context__.validate_dims("data initialization", "frequencies", "int", context__.to_vec(K));
134:             validate_non_negative_index("frequencies", "K", K);
135:             frequencies = std::vector<int>(K,int(0));
136:             vals_i__ = context__.vals_i("frequencies");
137:             pos__ = 0;
138:             size_t frequencies_limit_0__ = K;
139:             for (size_t i_0__ = 0; i_0__ < frequencies_limit_0__; ++i_0__) {
140:                 frequencies[i_0__] = vals_i__[pos__++];
141:             }
142: 
143:             // validate, data variables
144:             current_statement_begin__ = 9;
145:             check_greater_or_equal(function__,"K",K,0);
146:             current_statement_begin__ = 10;
147:             current_statement_begin__ = 11;
148:             for (int k0__ = 0; k0__ < K; ++k0__) {
149:                 check_greater_or_equal(function__,"frequencies[k0__]",frequencies[k0__],0);
150:             }
151:             // initialize data variables
152: 
153: 
154:             // validate transformed data
155: 
156:             // validate, set parameter ranges
157:             num_params_r__ = 0U;
158:             param_ranges_i__.clear();
159:             current_statement_begin__ = 14;
160:             ++num_params_r__;
161:         } catch (const std::exception& e) {
162:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
163:             // Next line prevents compiler griping about no return
164:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
165:         }
166:     }
167: 
168:     ~model36aa26ddf5ed_discrete_power_law() { }
169: 
170: 
171:     void transform_inits(const stan::io::var_context& context__,
172:                          std::vector<int>& params_i__,
173:                          std::vector<double>& params_r__,
174:                          std::ostream* pstream__) const {
175:         stan::io::writer<double> writer__(params_r__,params_i__);
176:         size_t pos__;
177:         (void) pos__; // dummy call to supress warning
178:         std::vector<double> vals_r__;
179:         std::vector<int> vals_i__;
180: 
181:         if (!(context__.contains_r("alpha")))
182:             throw std::runtime_error("variable alpha missing");
183:         vals_r__ = context__.vals_r("alpha");
184:         pos__ = 0U;
185:         context__.validate_dims("initialization", "alpha", "double", context__.to_vec());
186:         double alpha(0);
187:         alpha = vals_r__[pos__++];
188:         try {
189:             writer__.scalar_lb_unconstrain(1,alpha);
190:         } catch (const std::exception& e) { 
191:             throw std::runtime_error(std::string("Error transforming variable alpha: ") + e.what());
192:         }
193: 
194:         params_r__ = writer__.data_r();
195:         params_i__ = writer__.data_i();
196:     }
197: 
198:     void transform_inits(const stan::io::var_context& context,
199:                          Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
200:                          std::ostream* pstream__) const {
201:       std::vector<double> params_r_vec;
202:       std::vector<int> params_i_vec;
203:       transform_inits(context, params_i_vec, params_r_vec, pstream__);
204:       params_r.resize(params_r_vec.size());
205:       for (int i = 0; i < params_r.size(); ++i)
206:         params_r(i) = params_r_vec[i];
207:     }
208: 
209: 
210:     template <bool propto__, bool jacobian__, typename T__>
211:     T__ log_prob(vector<T__>& params_r__,
212:                  vector<int>& params_i__,
213:                  std::ostream* pstream__ = 0) const {
214: 
215:         typedef T__ local_scalar_t__;
216: 
217:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
218:         (void) DUMMY_VAR__;  // suppress unused var warning
219: 
220:         T__ lp__(0.0);
221:         stan::math::accumulator<T__> lp_accum__;
222: 
223:         try {
224:             // model parameters
225:             stan::io::reader<local_scalar_t__> in__(params_r__,params_i__);
226: 
227:             local_scalar_t__ alpha;
228:             (void) alpha;  // dummy to suppress unused var warning
229:             if (jacobian__)
230:                 alpha = in__.scalar_lb_constrain(1,lp__);
231:             else
232:                 alpha = in__.scalar_lb_constrain(1);
233: 
234: 
235:             // transformed parameters
236: 
237: 
238: 
239:             // validate transformed parameters
240: 
241:             const char* function__ = "validate transformed params";
242:             (void) function__;  // dummy to suppress unused var warning
243: 
244:             // model body
245: 
246:             current_statement_begin__ = 17;
247:             for (int k = 1; k <= K; ++k) {
248:                 current_statement_begin__ = 17;
249:                 lp_accum__.add((get_base1(frequencies,k,"frequencies",1) * power_law_lpmf(get_base1(values,k,"values",1),alpha, pstream__)));
250:             }
251: 
252:         } catch (const std::exception& e) {
253:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
254:             // Next line prevents compiler griping about no return
255:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
256:         }
257: 
258:         lp_accum__.add(lp__);
259:         return lp_accum__.sum();
260: 
261:     } // log_prob()
262: 
263:     template <bool propto, bool jacobian, typename T_>
264:     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
265:                std::ostream* pstream = 0) const {
266:       std::vector<T_> vec_params_r;
267:       vec_params_r.reserve(params_r.size());
268:       for (int i = 0; i < params_r.size(); ++i)
269:         vec_params_r.push_back(params_r(i));
270:       std::vector<int> vec_params_i;
271:       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
272:     }
273: 
274: 
275:     void get_param_names(std::vector<std::string>& names__) const {
276:         names__.resize(0);
277:         names__.push_back("alpha");
278:     }
279: 
280: 
281:     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
282:         dimss__.resize(0);
283:         std::vector<size_t> dims__;
284:         dims__.resize(0);
285:         dimss__.push_back(dims__);
286:     }
287: 
288:     template <typename RNG>
289:     void write_array(RNG& base_rng__,
290:                      std::vector<double>& params_r__,
291:                      std::vector<int>& params_i__,
292:                      std::vector<double>& vars__,
293:                      bool include_tparams__ = true,
294:                      bool include_gqs__ = true,
295:                      std::ostream* pstream__ = 0) const {
296:         typedef double local_scalar_t__;
297: 
298:         vars__.resize(0);
299:         stan::io::reader<local_scalar_t__> in__(params_r__,params_i__);
300:         static const char* function__ = "model36aa26ddf5ed_discrete_power_law_namespace::write_array";
301:         (void) function__;  // dummy to suppress unused var warning
302:         // read-transform, write parameters
303:         double alpha = in__.scalar_lb_constrain(1);
304:         vars__.push_back(alpha);
305: 
306:         // declare and define transformed parameters
307:         double lp__ = 0.0;
308:         (void) lp__;  // dummy to suppress unused var warning
309:         stan::math::accumulator<double> lp_accum__;
310: 
311:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
312:         (void) DUMMY_VAR__;  // suppress unused var warning
313: 
314:         try {
315: 
316: 
317: 
318:             // validate transformed parameters
319: 
320:             // write transformed parameters
321:             if (include_tparams__) {
322:             }
323:             if (!include_gqs__) return;
324:             // declare and define generated quantities
325: 
326: 
327: 
328:             // validate generated quantities
329: 
330:             // write generated quantities
331:         } catch (const std::exception& e) {
332:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
333:             // Next line prevents compiler griping about no return
334:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
335:         }
336:     }
337: 
338:     template <typename RNG>
339:     void write_array(RNG& base_rng,
340:                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
341:                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
342:                      bool include_tparams = true,
343:                      bool include_gqs = true,
344:                      std::ostream* pstream = 0) const {
345:       std::vector<double> params_r_vec(params_r.size());
346:       for (int i = 0; i < params_r.size(); ++i)
347:         params_r_vec[i] = params_r(i);
348:       std::vector<double> vars_vec;
349:       std::vector<int> params_i_vec;
350:       write_array(base_rng,params_r_vec,params_i_vec,vars_vec,include_tparams,include_gqs,pstream);
351:       vars.resize(vars_vec.size());
352:       for (int i = 0; i < vars.size(); ++i)
353:         vars(i) = vars_vec[i];
354:     }
355: 
356:     static std::string model_name() {
357:         return "model36aa26ddf5ed_discrete_power_law";
358:     }
359: 
360: 
361:     void constrained_param_names(std::vector<std::string>& param_names__,
362:                                  bool include_tparams__ = true,
363:                                  bool include_gqs__ = true) const {
364:         std::stringstream param_name_stream__;
365:         param_name_stream__.str(std::string());
366:         param_name_stream__ << "alpha";
367:         param_names__.push_back(param_name_stream__.str());
368: 
369:         if (!include_gqs__ && !include_tparams__) return;
370: 
371:         if (include_tparams__) {
372:         }
373: 
374: 
375:         if (!include_gqs__) return;
376:     }
377: 
378: 
379:     void unconstrained_param_names(std::vector<std::string>& param_names__,
380:                                    bool include_tparams__ = true,
381:                                    bool include_gqs__ = true) const {
382:         std::stringstream param_name_stream__;
383:         param_name_stream__.str(std::string());
384:         param_name_stream__ << "alpha";
385:         param_names__.push_back(param_name_stream__.str());
386: 
387:         if (!include_gqs__ && !include_tparams__) return;
388: 
389:         if (include_tparams__) {
390:         }
391: 
392: 
393:         if (!include_gqs__) return;
394:     }
395: 
396: }; // model
397: 
398: }
399: 
400: typedef model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law stan_model;
401: 
402: #include <rstan/rstaninc.hpp>
403: /**
404:  * Define Rcpp Module to expose stan_fit's functions to R.
405:  */
406: RCPP_MODULE(stan_fit4model36aa26ddf5ed_discrete_power_law_mod){
407:   Rcpp::class_<rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law,
408:                boost::random::ecuyer1988> >("stan_fit4model36aa26ddf5ed_discrete_power_law")
409:     // .constructor<Rcpp::List>()
410:     .constructor<SEXP, SEXP, SEXP>()
411:     // .constructor<SEXP, SEXP>()
412:     .method("call_sampler",
413:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::call_sampler)
414:     .method("param_names",
415:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names)
416:     .method("param_names_oi",
417:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_names_oi)
418:     .method("param_fnames_oi",
419:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_fnames_oi)
420:     .method("param_dims",
421:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims)
422:     .method("param_dims_oi",
423:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_dims_oi)
424:     .method("update_param_oi",
425:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::update_param_oi)
426:     .method("param_oi_tidx",
427:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::param_oi_tidx)
428:     .method("grad_log_prob",
429:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::grad_log_prob)
430:     .method("log_prob",
431:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::log_prob)
432:     .method("unconstrain_pars",
433:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrain_pars)
434:     .method("constrain_pars",
435:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrain_pars)
436:     .method("num_pars_unconstrained",
437:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::num_pars_unconstrained)
438:     .method("unconstrained_param_names",
439:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::unconstrained_param_names)
440:     .method("constrained_param_names",
441:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::constrained_param_names)
442:     .method("standalone_gqs",
443:             &rstan::stan_fit<model36aa26ddf5ed_discrete_power_law_namespace::model36aa26ddf5ed_discrete_power_law, boost::random::ecuyer1988>::standalone_gqs)
444:   ;
445: }
446: 
447: // declarations
448: extern "C" {
449: SEXP file36aa2927b1c5( ) ;
450: }
451: 
452: // definition
453: 
454: SEXP file36aa2927b1c5(  ){
455:  return Rcpp::wrap("discrete_power_law");
456: }
457: 
458: