Processing of Model Parameters

Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) ), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).


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install.packages("parameters")

0.13.0 by Daniel Lüdecke, 9 days ago


https://easystats.github.io/parameters/


Report a bug at https://github.com/easystats/parameters/issues


Browse source code at https://github.com/cran/parameters


Authors: Daniel Lüdecke [aut, cre] , @strengejacke) , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , @patilindrajeets) , Søren Højsgaard [aut] , Zen J. Lau [ctb] , Vincent Arel-Bundock [ctb] , @vincentab) , Jeffrey Girard [ctb] , @jeffreymgirard)


Documentation:   PDF Manual  


Task views: Probability Distributions


GPL-3 license


Imports bayestestR, insight, methods, stats, utils

Suggests AER, afex, aod, BayesFactor, BayesFM, bbmle, betareg, blme, boot, brglm2, brms, broom, cAIC4, car, cgam, clubSandwich, cluster, cplm, dplyr, DRR, effectsize, emmeans, EGAnet, FactoMineR, fastICA, gam, gamlss, gee, geepack, ggplot2, GLMMadaptive, glmmTMB, GPArotation, gt, lavaan, lavaSearch2, lme4, lmerTest, logspline, lqmm, knitr, MASS, magrittr, Matrix, mclust, MCMCglmm, mediation, metaBMA, metafor, mice, mfx, mgcv, multcomp, multimode, MuMIn, M3C, NbClust, nFactors, nlme, panelr, performance, plm, PMCMRplus, pbkrtest, projpred, pscl, psych, quantreg, randomForest, rmarkdown, rstanarm, sandwich, see, sjstats, spelling, survey, survival, testthat, TMB, tripack, truncreg, VGAM, WRS2


Imported by broomExtra, correlation, effectsize, ggstatsplot, glmglrt, groupedstats, modelbased, modelsummary, pairwiseComparisons, psycho, report, see, sjPlot, sjstats, statsExpressions, tidyBF.

Suggested by bayestestR, broom.helpers, gtsummary, insight, performance.


See at CRAN