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: 0.21.6
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.13.2), datawizard (≥ 0.9.1), insight (≥ 0.19.8), graphics, methods, stats, utils
Suggests: AER, afex, aod, BayesFactor (≥ 0.9.12-4.7), BayesFM, bbmle, betareg, BH, biglm, blme, boot, brglm2, brms, broom, cAIC4, car, carData, cgam, ClassDiscovery, clubSandwich, cluster, coda, cplm, dbscan, domir (≥ 0.2.0), drc, DRR, effectsize (≥ 0.8.6), EGAnet, emmeans (≥ 1.7.0), epiR, estimatr, factoextra, FactoMineR, faraway, fastICA, fixest, fpc, gam, gamlss, gee, geepack, ggeffects (≥ 1.3.2), ggplot2, GLMMadaptive, glmmTMB, GPArotation, gt, haven, httr, Hmisc, ivprobit, ivreg, knitr, lavaan, lfe, lm.beta, lme4, lmerTest, lmtest, logistf, logspline, lqmm, M3C, marginaleffects (≥ 0.16.0), MASS, Matrix, mclogit, mclust, MCMCglmm, mediation, merDeriv, metaBMA, metafor, mfx, mgcv, mice, mmrm, multcomp, MuMIn, NbClust, nFactors, nestedLogit, nlme, nnet, openxlsx, ordinal, panelr, pbkrtest, PCDimension, performance (≥ 0.10.8), plm, PMCMRplus, poorman, posterior, PROreg (≥ 1.3.0), pscl, psych, pvclust, quantreg, randomForest, rmarkdown, rms, rstanarm, sandwich, see (≥ 0.8.1), serp, sparsepca, survey, survival, testthat (≥ 3.2.1), tidyselect, tinytable (≥ 0.1.0), TMB, truncreg, VGAM, withr, WRS2
Published: 2024-03-18
Author: Daniel Lüdecke ORCID iD [aut, cre] (@strengejacke), Dominique Makowski ORCID iD [aut] (@Dom_Makowski), Mattan S. Ben-Shachar ORCID iD [aut], Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Søren Højsgaard [aut], Brenton M. Wiernik ORCID iD [aut] (@bmwiernik), Zen J. Lau [ctb], Vincent Arel-Bundock ORCID iD [ctb] (@vincentab), Jeffrey Girard ORCID iD [ctb] (@jeffreymgirard), Christina Maimone [rev], Niels Ohlsen [rev] (@Niels_Bremen), Douglas Ezra Morrison ORCID iD [ctb] (@demstats1), Joseph Luchman ORCID iD [ctb]
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
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.pdf
Vignettes: Overview of Vignettes

Downloads:

Package source: parameters_0.21.6.tar.gz
Windows binaries: r-devel: parameters_0.21.5.zip, r-release: parameters_0.21.5.zip, r-oldrel: parameters_0.21.5.zip
macOS binaries: r-release (arm64): parameters_0.21.6.tgz, r-oldrel (arm64): parameters_0.21.6.tgz, r-release (x86_64): parameters_0.21.6.tgz
Old sources: parameters archive

Reverse dependencies:

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

Linking:

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