{ ;; :acf "Autocorrelation.",
 ;; :adj.p.value "P-value adjusted for multiple comparisons.",
 ;; :alternative "Alternative hypothesis (character).",
 ;; :at.value "Value(s) used to calculate AMEs.",
 ;; :at.variable "Variable(s) used to calculate average marginal effects (AMEs).",
 ;; :atmean "Marginal effects were calculated as either partial effects for the mean observation (TRUE), or as mean partial effects (FALSE).",
 ;; :autocorrelation "Autocorrelation.",
 ;; :bias "Bias of the statistic.",
 ;; :ci.width "Expected width of confidence interval.",
 ;; :class "The class under consideration.",
 ;; :cluster "A factor describing the cluster from 1:k.",
 ;; :coef.type "Type of coefficient.",
 ;; :column-1 "Name or index of the first column being described.",
 ;; :column-2 "Name or index of the second column being described.",
 ;; :comp "ID of the model component.",
 ;; :comparison "Levels being compared.",
 ;; :component "ID of the cluster or component being considered.",
 ;; :conf.high "Upper bound on the confidence interval for the estimate.",
 ;; :conf.low "Lower bound on the confidence interval for the estimate.",
 ;; :contrast "Levels being compared.",
 ;; :cumulative "Cumulative percentage of variation explained.",
 ;; :cutoff "The cutoff used for classification. Observations with predicted probabilities above this value were assigned class 1, and observations with predicted probabilities below this value were assigned class 0.",
 ;; :delta "True difference in means.",
 ;; :den.df "Degrees of freedom of the denominator.",
 ;; :denominator "The denominator, which is tau=kendall_score/denominator.",
 ;; :dev.ratio "Fraction of null deviance explained at each value of lambda.",
 ;; :df "Degrees of freedom used by this term in the model.",
 ;; :distance "Distance between items.",
  :estimate "The estimated value of the regression term."
 ;; :estimate-1 "Sometimes two estimates are computed, such as in a two-sample t-test.",
 ;; :estimate-2 "Sometimes two estimates are computed, such as in a two-sample t-test.",
 ;; :event "Observed number of events.",
 ;; :exp "Weighted expected number of events in each group.",
 ;; :expected "Expected number of events.",
 ;; :fpr "False positive rate.",
 ;; :freq "Vector of frequencies at which the spectral density is estimated.",
 ;; :gcv "Generalized cross validation error estimate.",
 ;; :group "The group (if specified) in the lavaan model.",
 ;; :group-1 "First group being compared.",
 ;; :group-2 "Second group being compared.",
 ;; :index "Index (i.e. date or time) for a `ts` or `zoo` object.",
 ;; :item-1 "First item.",
 ;; :item-2 "Second item.",
 ;; :kendall-score "Kendall score.",
 ;; :lag "Lag values.",
 ;; :lambda "Value of penalty parameter lambda.",
 ;; :letters "Compact letter display denoting all pair-wise comparisons.",
 ;; :lhs "Left hand side.",
 ;; :log-lik "Log-likelihood at the fitted value of the parameters.",
 ;; :mcmc.error "The MCMC error.",
 ;; :mean "The mean for each component. In case of 2+ dimensional models, a column with the mean is added for each dimension. NA for noise component.",
 ;; :meansq "Mean sum of squares. Equal to total sum of squares divided by degrees of freedom.",
 ;; :method "Method used.",
 ;; :n "Number of subjects in each group.",
 ;; :n.censor "Number of censored events.",
 ;; :n.event "Number of events at time t.",
 ;; :n.risk "Number of individuals at risk at time zero.",
 ;; :null.value "Value to which the estimate is compared.",
 ;; :num.df "Degrees of freedom.",
 ;; :nzero "Number of non-zero coefficients for the given lambda.",
 ;; :obs "weighted observed number of events in each group.",
 ;; :op "The operator in the model syntax (e.g. `~~` for covariances, or `~` for regression parameters).",
 ;; :outcome "Outcome of manifest variable.",
 ;; :p "True proportion.",
 :p.value "The two-sided p-value associated with the observed statistic.",
 ;; :p.value.-sargan "p-value for Sargan test of overidentifying restrictions.",
 ;; :p.value.weakinst "p-value for weak instruments test.",
 ;; :p.value.-wu.-hausman "p-value for Wu-Hausman weak instruments test for endogeneity.",
 ;; :parameter "The parameter being modeled.",
 ;; :pc "An integer vector indicating the principal component.",
 ;; :percent "Percentage of variation explained.",
 ;; :power "Power achieved for given value of n.",
 ;; :proportion "The mixing proportion of each component",
 ;; :pyears "Person-years of exposure.",
 ;; :quantile nil,
 ;; :response "Which response column the coefficients correspond to (typically `Y1`, `Y2`, etc).",
 ;; :rhs "Right hand side.",
 ;; :robust.se "robust version of standard error estimate.",
 ;; :row "Row ID of the original observation.",
 ;; :scale "Scaling factor of estimated coefficient.",
 ;; :sd "Standard deviation.",
 ;; :series "Name of the series (present only for multivariate time series).",
 ;; :sig.level "Significance level (Type I error probability).",
 ;; :size "Number of points assigned to cluster.",
 ;; :spec "Vector (for univariate series) or matrix (for multivariate series) of estimates of the spectral density at frequencies corresponding to freq.",
 ;; :state "State (if multistate survfit object inputted).",
  :statistic "The value of a T-statistic to use in a hypothesis that the regression term is non-zero.",
 ;; :statistic.-sargan "Statistic for Sargan test of overidentifying restrictions.",
 ;; :statistic.weakinst "Statistic for Wu-Hausman test.",
 ;; :statistic.-wu.-hausman "Statistic for Wu-Hausman weak instruments test for endogeneity.",
 :std-estimate "The standardized regression coefficients.",
 ;; :std.all "Standardized estimates based on both the variances of both (continuous) observed and latent variables.",
 ;; :std.dev "Standard deviation explained by this PC.",
  :std.error "The standard error of the regression term."
 ;; :std.lv "Standardized estimates based on the variances of the (continuous) latent variables only.",
 ;; :std.nox "Standardized estimates based on both the variances of both (continuous) observed and latent variables, but not the variances of exogenous covariates.",
 ;; :step "Which step of lambda choices was used.",
 ;; :strata "Strata if stratified survfit object inputted.",
 ;; :stratum "The error stratum.",
 ;; :study "The estimate type (summary vs individual study).",
 ;; :sumsq "Sum of squares explained by this term.",
 ;; :tau "Quantile.",
  :term "The name of the regression term."}
 ;; :time "Point in time.",
 ;; :tpr "The true positive rate at the given cutoff.",
 ;; :type "Either \"weighted\" or \"unweighted\".",
 ;; :uniqueness "Proportion of residual, or unexplained variance.",
 ;; :value "The value/estimate of the component. Results from data reshaping.",
 ;; :var-kendall-score "Variance of the kendall_score.",
 ;; :variable "Variable under consideration.",
 ;; :variance "In case of one-dimensional and spherical models, the variance for each component, omitted otherwise. `NA` for noise component.",
 ;; :withinss "The within-cluster sum of squares.",
 ;; :y.level "The response level.",
 ;; :y.value "The response level.",
 ;; :z "z score."