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 support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), 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: 0.11.0
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.7.5), insight (≥ 0.11.0), methods, stats, utils
Suggests: AER, afex, aod, BayesFactor, BayesFM, bbmle, betareg, blme, boot, brglm2, brms, broom, cAIC4, car, clubSandwich, cluster, covr, cplm, dplyr, DRR, effectsize (≥ 0.4.1), EGAnet (≥ 0.7), FactoMineR, fastICA, gam, gamlss, gee, geepack, ggplot2, GLMMadaptive, glmmTMB, GPArotation, gt, lavaan, lavaSearch2, lme4, lmerTest, logspline, knitr, MASS, magrittr, Matrix, mclust, MCMCglmm, mediation, metaBMA, metafor, mice, mfx, mgcv, multcomp, multimode, MuMIn, M3C, NbClust, nFactors, nlme, performance (≥ 0.5.1), plm, PMCMRplus, projpred, pscl, psych, quantreg, randomForest, rmarkdown, rstanarm, sandwich, see, sjstats, spelling, survey, survival, testthat, TMB, tripack, truncreg, VGAM, WRS2
Published: 2021-01-15
Author: Daniel Lüdecke ORCID iD [aut, cre] (@strengejacke), Dominique Makowski ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [aut], Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock ORCID iD [ctb] (@vincentab)
Maintainer: Daniel Lüdecke <d.luedecke at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: parameters citation info
Materials: README NEWS
In views: Distributions
CRAN checks: parameters results


Reference manual: parameters.pdf
Vignettes: Analysing Longitudinal or Panel Data
Structural Models (EFA, CFA, SEM, ...)
Summary of Model Parameters
Formatting Model Parameters
Missing Data
Robust Estimation of Standard Errors
Standardized Model Parameters
Feature Reduction (PCA, cMDS, ICA, ...)
Parameters Selection
Package source: parameters_0.11.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: parameters_0.10.1.tgz, r-oldrel: parameters_0.11.0.tgz
Old sources: parameters archive

Reverse dependencies:

Reverse imports: broomExtra, correlation, effectsize, ggstatsplot, glmglrt, groupedstats, modelbased, modelsummary, pairwiseComparisons, psycho, see, sjPlot, sjstats, statsExpressions, tidyBF
Reverse suggests: bayestestR, gtsummary, insight, ipmisc, performance


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