{
 :adj.r.squared "Adjusted R squared statistic, which is like the R squared statistic except taking degrees of freedom into account."
;; :agfi "Adjusted goodness of fit.",
 :aic "Akaike's Information Criterion for the model."
;; :ai-cc "Small sample corrected Akaike's Information Criterion for the model.",
;; :alpha "Estimated correlation parameter for geepack::geeglm.",
;; :alternative "The alternative hypothesis. Usually character.",
;; :autocorrelation "Autocorrelation.",
;; :avg.silhouette.width "The average silhouette width for the dataset.",
;; :betweenss "The total between-cluster sum of squares.",
 :bic "Bayesian Information Criterion for the model."
;; :cfi "Comparative fit index.",
;; :chi.squared "The Pearson Chi-Square goodness of fit statistic for multiway tables.",
;; :chisq "Model chi squared.",
;; :cochran.qe "In meta-analysis, test statistic for the Cochran's Q_e test of residual heterogeneity.",
;; :cochran.qm "In meta-analysis, test statistic for the Cochran's Q_m omnibus test of coefficients.",
;; :conf.high "Upper bound on confidence interval.",
;; :conf.low "Lower bound on confidence interval.",
;; :converged "Logical indicating if the model fitting procedure was succesful and converged.",
;; :convergence "Convergence code.",
;; :crit "Minimized criterion",
;; :cv.crit "Cross-validation score",
;; :den.df "Degrees of freedom of the denominator",
 :deviance "Deviance of the model.",
 :df "Degrees of freedom used by the model."
;; :df.null "Degrees of freedom used by the null model.",
 :df.residual "Residual degrees of freedom.",
;; :dw.original "Durbin-Watson statistic of original fit.",
;; :dw.transformed "Durbin-Watson statistic of transformed fit.",
;; :edf "The effective degrees of freedom.",
;; :estimator "Estimator used.",
;; :events "Number of events.",
;; :fin-tol "The achieved convergence tolerance.",
;; :function.count "Number of calls to `fn`.",
;; :g "The optimal number of mixture components.",
;; :g.squared "The likelihood ratio/deviance statistic.",
;; :gamma "Estimated scale parameter for geepack::geeglm.",
;; :gradient.count "Number of calls to `gr`.",
;; :h "H statistic for computing confidence interval of major axis slope.",
;; :h.squared "Value of the H-Squared statistic.",
;; :hypvol "If the other model contains a noise component, the value of the hypervolume parameter. Otherwise `NA`.",
;; :i.squared "Value of the I-Squared statistic.",
;; :independence "Whether the model assumed dyadic independence.",
;; :is-conv "Whether the fit successfully converged.",
;; :iter "Iterations of algorithm/fitting procedure completed.",
;; :iterations "The number of iterations performed before convergence.",
;; :k-hkb "Modified HKB estimate of the ridge constant.",
;; :k-lw "Modified L-W estimate of the ridge constant.",
;; :lag.order "Lag order.",
;; :lambda "Choice of lambda corresponding to `spar`.",
;; :lambda.-1se "The value of the penalization parameter lambda that results in the sparsest model while remaining within one standard error of the minimum loss.",
;; :lambda.min "The value of the penalization parameter lambda that achieved minimum loss as estimated by cross validation.",
;; :lambda-gcv "choice of lambda that minimizes GCV.",
 :log-lik "The log-likelihood of the model. [stats::logLik()] may be a useful reference."
 :mae "mean absolute error"
;; :max.cluster.size "Max number of elements in clusters.",
;; :max.hazard "Maximal estimated hazard.",
;; :max.time "The maximum observed event or censoring time.",
;; :maxit "Number of iterations performed.",
;; :mcmc.burnin "The burn-in period of the MCMC estimation.",
;; :mcmc.interval "The interval used during MCMC estimation.",
;; :mcmc.samplesize "The sample size used during MCMC estimation.",
;; :measure "The measure used in the meta-analysis.",
;; :median "median survival.",
;; :method "Which method was used.",
;; :min.hazard "Minimal estimated hazard.",
;; :min.time "The minimum observed event or censoring time.",
;; :missing-method "Method for eliminating missing data.",
;; :model "A character string denoting the model at which the optimal BIC occurs.",
 :mse "Mean Squared Deviation"
 :n "The total number of observations."
;; :n.clusters "Number of clusters.",
;; :n.factors "The number of fitted factors.",
;; :n.max "Maximum number of subjects at risk.",
;; :n.start "Initial number of subjects at risk.",
;; :nevent "Number of events.",
;; :nexcluded "Number of excluded observations.",
;; :ngroups "Number of groups in model.",
;; :nobs "Number of observations used.",
;; :norig "Number of observation in the original dataset.",
;; :npar "Number of parameters in the model.",
;; :npasses "Total passes over the data across all lambda values.",
;; :null.deviance "Deviance of the null model.",
;; :nulldev "Null deviance.",
;; :num.df "Degrees of freedom of the numerator.",
;; :number.interaction "Number of interactions.",
;; :offtable "Total number of person-years off table.",
 :p.value "P-value corresponding to the test statistic."
;; :p.value.cochran.qe "In meta-analysis, p-value for the Cochran's Q_e test of residual heterogeneity.",
;; :p.value.cochran.qm "In meta-analysis, p-value for the Cochran's Q_m omnibus test of coefficients.",
;; :p.value.original "P-value of original Durbin-Watson statistic.",
;; :p.value.-sargan "P-value for Sargan test.",
;; :p.value.transformed "P-value of autocorrelation after transformation.",
;; :p.value.weak.instr "P-value for weak instrument F-test.",
;; :p.value.-wu.-hausman "P-value for Wu-Hausman test.",
;; :parameter "Parameter field in the htest, typically degrees of freedom.",
;; :pen.crit "Penalized criterion.",
;; :power "Power achieved by the analysis.",
;; :power.reached "Whether the desired power was reached.",
;; :pseudo.r.squared "Like the R squared statistic, but for situations when the R squared statistic isn't defined.",
 :r.squared "R squared statistic, or the percent of variation explained by the model. Also known as the coefficient of determination."
;; :records "Number of observations",
;; :residual.deviance "The residual deviance of the model",
;; :rho "Spearman's rho autocorrelation",
;; :rho-2 "McFadden's rho squared with respect to a market shares (constants-only) model.",
;; :rho-20 "McFadden's rho squared with respect to an equal shares (no information) model.",
;; :rmean "Restricted mean (see [survival::print.survfit()]).",
;; :rmean.std.error "Restricted mean standard error.",
 :rmse "Root mean squared deviation"
;; :rmsea "Root mean square error of approximation.",
;; :rmsea.conf.high "95 percent upper bound on RMSEA.",
;; :rscore "Robust log-rank statistic",
 :rss "Residual Sum Squared"
;; :score "Score.",
 :sigma "Estimated standard error of the residuals."
;; :sigma-2-j "The square root of the estimated residual variance for the j-th longitudinal process.",
;; :spar "Smoothing parameter.",
;; :srmr "Standardised root mean residual.",
:statistic "Test statistic.",
;; :statistic.-sargan "Statistic for Sargan test.",
;; :statistic.weak.instr "Statistic for weak instrument F-test.",
;; :statistic.-wu.-hausman "Statistic for Wu-Hausman test.",
;; :tau "Quantile.",
;; :tau.squared "In meta-analysis, estimated amount of residual heterogeneity.",
;; :tau.squared.se "In meta-analysis, standard error of residual heterogeneity.",
;; :theta "Angle between OLS lines `lm(y ~ x)` and `lm(x ~ y)`.",
;; :timepoints "Number of timepoints.",
;; :tli "Tucker Lewis index.",
;; :tot.withinss "The total within-cluster sum of squares.",
;; :total "Total number of person-years tabulated.",
;; :total.variance "Total cumulative proportion of variance accounted for by all factors.",
 :totss "The total sum of squares."}
;; :value "Minimized or maximized output value.",
;; :within.r.squared "R squared within fixed-effect groups."