diff --git a/resources/columms-augment.edn b/resources/columms-augment.edn
index 6478636..0683573 100644
--- a/resources/columms-augment.edn
+++ b/resources/columms-augment.edn
@@ -1,50 +1,40 @@
-{:.class "Predicted class.",
- :.cluster "Cluster assignment.",
- :.cochran.qe.loo
- "Leave-one-out residual heterogeneity test statistics.",
- :.col.prop "Column proportion (2 dimensional table only).",
- :.conf.high "Upper bound on confidence interval for fitted values.",
- :.conf.low "Lower bound on confidence interval for fitted values.",
- :.cooksd "Cooks distance.",
- :.cov.ratio "The covariance ratio.",
- :.cred.high "Upper bound on credible interval for fitted values.",
- :.cred.low "Lower bound on credible interval for fitted values.",
- :.dffits
- "Estimated change in standard deviations for the predicted effect after excluding the study",
- :.expected "Expected count under the null hypothesis.",
- :.fitted "Fitted or predicted value.",
- :.fitted-j-0
- "Population-level fitted values for the j-th longitudinal process.",
- :.fitted-j-1
- "Individual-level fitted values for the j-th longitudinal process.",
- :.hat "Diagonal of the hat matrix.",
- :.lower "Lower bound on interval for fitted values.",
- :.moderator
- "In meta-analysis, the moderators used to calculate the predicted values.",
- :.moderator.level
- "In meta-analysis, the level of the moderators used to calculate the predicted values.",
- :.observed "Observed count.",
- :.probability "Class probability of modal class.",
- :.prop "Proportion of the total.",
- :.remainder
- "The remainder, or random, component of the decomposition.",
- :.resid "The difference between observed and fitted values.",
- :.resid-j-0
- "Population-level residuals for the j-th longitudinal process.",
- :.resid-j-1
- "Individual-level residuals for the j-th longitudinal process.",
- :.row.prop "Row proportion (2 dimensions table only).",
- :.rownames "Rownames from the original data, if present.",
- :.se.fit "Standard errors of fitted values.",
- :.seasadj "The seasonally adjusted (or *deseasonalised*) series.",
- :.seasonal "The seasonal component of the decomposition.",
- :.sigma
- "Estimated residual standard deviation when corresponding observation is dropped from model.",
- :.std.resid "Standardised residuals.",
- :.tau "Quantile.",
- :.tau.squared.loo "leave-one-out tau-squared estimates",
- :.trend "The trend component of the decomposition.",
- :.uncertainty
- "The uncertainty associated with the classification. Equal to one minus the model class probability.",
- :.upper "Upper bound on interval for fitted values.",
- :.weight "The final robust weights."}
+{
+;; :.class "Predicted class.",
+;;  :.cluster "Cluster assignment.",
+;;  :.cochran.qe.loo "Leave-one-out residual heterogeneity test statistics.",
+;;  :.col.prop "Column proportion (2 dimensional table only).",
+;;  :.conf.high "Upper bound on confidence interval for fitted values.",
+;;  :.conf.low "Lower bound on confidence interval for fitted values.",
+;;  :.cooksd "Cooks distance.",
+;;  :.cov.ratio "The covariance ratio.",
+;;  :.cred.high "Upper bound on credible interval for fitted values.",
+;;  :.cred.low "Lower bound on credible interval for fitted values.",
+;;  :.dffits "Estimated change in standard deviations for the predicted effect after excluding the study",
+;;  :.expected "Expected count under the null hypothesis.",
+  :.fitted "Fitted or predicted value."
+;;  :.fitted-j-0 "Population-level fitted values for the j-th longitudinal process.",
+;;  :.fitted-j-1 "Individual-level fitted values for the j-th longitudinal process.",
+;;  :.hat "Diagonal of the hat matrix.",
+;;  :.lower "Lower bound on interval for fitted values.",
+;;  :.moderator "In meta-analysis, the moderators used to calculate the predicted values.",
+;;  :.moderator.level "In meta-analysis, the level of the moderators used to calculate the predicted values.",
+;;  :.observed "Observed count.",
+;;  :.probability "Class probability of modal class.",
+;;  :.prop "Proportion of the total.",
+;;  :.remainder "The remainder, or random, component of the decomposition.",
+ :.resid "The difference between observed and fitted values."}
+;;  :.resid-j-0 "Population-level residuals for the j-th longitudinal process.",
+;;  :.resid-j-1 "Individual-level residuals for the j-th longitudinal process.",
+;;  :.row.prop "Row proportion (2 dimensions table only).",
+;;  :.rownames "Rownames from the original data, if present.",
+;;  :.se.fit "Standard errors of fitted values.",
+;;  :.seasadj "The seasonally adjusted (or *deseasonalised*) series.",
+;;  :.seasonal "The seasonal component of the decomposition.",
+;;  :.sigma "Estimated residual standard deviation when corresponding observation is dropped from model.",
+;;  :.std.resid "Standardised residuals.",
+;;  :.tau "Quantile.",
+;;  :.tau.squared.loo "leave-one-out tau-squared estimates",
+;;  :.trend "The trend component of the decomposition.",
+;;  :.uncertainty "The uncertainty associated with the classification. Equal to one minus the model class probability.",
+;;  :.upper "Upper bound on interval for fitted values.",
+;;  :.weight "The final robust weights."
diff --git a/resources/columms-glance.edn b/resources/columms-glance.edn
index 03cee08..941dbfe 100644
--- a/resources/columms-glance.edn
+++ b/resources/columms-glance.edn
@@ -1,159 +1,134 @@
-{: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.",
+{
+ :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.",
+;; :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.",
+;; :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",
-
+;; :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."}
+;; :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."
diff --git a/resources/columms-tidy.edn b/resources/columms-tidy.edn
index f1e45b3..38b215b 100644
--- a/resources/columms-tidy.edn
+++ b/resources/columms-tidy.edn
@@ -1,140 +1,115 @@
-{: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."}
+{ ;; :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."