parameters: 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 list of supported models using the function 'insight::supported_models()'), 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).

Version: 0.28.2
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.17.0), datawizard (≥ 1.2.0), insight (≥ 1.4.1), graphics, methods, stats, utils
Suggests: AER, afex, aod, BayesFactor (≥ 0.9.12-4.7), BayesFM, bbmle, betareg, BH, biglm, blme, boot, brglm2, brms, broom, broom.mixed, cAIC4, car, carData, cgam, ClassDiscovery, clubSandwich, cluster, cobalt, coda, correlation (≥ 0.8.8), coxme, cplm, curl, dbscan, did, discovr, distributional, domir (≥ 0.2.0), drc, DRR, effectsize (≥ 1.0.1), EGAnet, emmeans (≥ 1.7.0), epiR, estimatr, factoextra, FactoMineR, faraway, fastICA, fixest, fpc, gam, gamlss, gee, geepack, ggplot2, GLMMadaptive, glmmTMB (≥ 1.1.12), glmtoolbox, GPArotation, gt, haven, httr2, Hmisc, ivreg, knitr, lavaan, lfe, lm.beta, lme4, lmerTest, lmtest, logistf, logitr, logspline, lqmm, M3C, marginaleffects (≥ 0.29.0), modelbased (≥ 0.9.0), MASS, Matrix, mclogit, mclust, MCMCglmm, mediation, merDeriv, metaBMA, metafor, mfx, mgcv, mice (≥ 3.17.0), mmrm, multcomp, MuMIn, mvtnorm, NbClust, nFactors, nestedLogit, nlme, nnet, openxlsx, ordinal, panelr, pbkrtest, PCDimension, performance (≥ 0.14.0), plm, PMCMRplus, poorman, posterior, PROreg (≥ 1.3.0), pscl, psych, pvclust, quantreg, randomForest, RcppEigen, rmarkdown, rms, rstan, rstanarm, sampleSelection, sandwich, see (≥ 0.8.1), serp, sparsepca, survey, survival, svylme, testthat (≥ 3.2.1), tidyselect, tinytable (≥ 0.13.0), TMB, truncreg, vdiffr, VGAM, WeightIt (≥ 1.2.0), withr, WRS2
Published: 2025-09-10
DOI: 10.32614/CRAN.package.parameters
Author: Daniel Lüdecke ORCID iD [aut, cre], Dominique Makowski ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [aut], Indrajeet Patil ORCID iD [aut], Søren Højsgaard [aut], Brenton M. Wiernik ORCID iD [aut], Zen J. Lau [ctb], Vincent Arel-Bundock ORCID iD [ctb], Jeffrey Girard ORCID iD [ctb], Christina Maimone [rev], Niels Ohlsen [rev], Douglas Ezra Morrison ORCID iD [ctb], Joseph Luchman ORCID iD [ctb]
Maintainer: Daniel Lüdecke <officialeasystats at gmail.com>
BugReports: https://github.com/easystats/parameters/issues
License: GPL-3
URL: https://easystats.github.io/parameters/
NeedsCompilation: no
Language: en-US
Citation: parameters citation info
Materials: README, NEWS
In views: Distributions, MixedModels, ReproducibleResearch
CRAN checks: parameters results

Documentation:

Reference manual: parameters.html , parameters.pdf
Vignettes: Overview of Vignettes (source, R code)

Downloads:

Package source: parameters_0.28.2.tar.gz
Windows binaries: r-devel: parameters_0.28.2.zip, r-release: parameters_0.28.2.zip, r-oldrel: parameters_0.28.2.zip
macOS binaries: r-release (arm64): parameters_0.28.2.tgz, r-oldrel (arm64): parameters_0.28.2.tgz, r-release (x86_64): parameters_0.28.2.tgz, r-oldrel (x86_64): parameters_0.28.2.tgz
Old sources: parameters archive

Reverse dependencies:

Reverse imports: apa7, clintools, correlation, cvms, dotwhisker, easystats, effectsize, EMOTIONS, ggstatsplot, MCM, modelbased, modelsummary, multitool, peramo, psycho, psycModel, regport, report, see, sjPlot, sjstats, statsExpressions, StroupGLMM
Reverse suggests: bayestestR, broom.helpers, cardx, datawizard, descriptio, domir, ggeffects, ggstats, gtsummary, guideR, insight, marginaleffects, panelsummary, performance, siera

Linking:

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