Movatterモバイル変換


[0]ホーム

URL:


bayestestR: Understand and Describe Bayesian Models and PosteriorDistributions

Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.

Version:0.17.0
Depends:R (≥ 3.6)
Imports:insight (≥ 1.4.1),datawizard (≥ 1.2.0), graphics, methods, stats, utils
Suggests:BayesFactor (≥ 0.9.12-4.4),bayesQR,bayesplot,betareg,BH,blavaan,bridgesampling,brms,collapse,curl,effectsize,emmeans,gamm4,ggdist,ggplot2,glmmTMB,httr2,KernSmooth,knitr,lavaan,lme4,logspline (≥ 2.1.21),marginaleffects (≥0.29.0),MASS,mclust,mediation,modelbased,ordbetareg,parameters,patchwork,performance,posterior,quadprog,RcppEigen,rmarkdown,rstan,rstanarm,see (≥ 0.8.5),testthat,tinytable,tweedie,withr
Published:2025-08-29
DOI:10.32614/CRAN.package.bayestestR
Author:Dominique MakowskiORCID iD [aut, cre], Daniel LüdeckeORCID iD [aut], Mattan S. Ben-ShacharORCID iD [aut], Indrajeet PatilORCID iD [aut], Micah K. WilsonORCID iD [aut], Brenton M. WiernikORCID iD [aut], Paul-Christian Bürkner [rev], Tristan MahrORCID iD [rev], Henrik SingmannORCID iD [ctb], Quentin F. GronauORCID iD [ctb], Sam CrawleyORCID iD [ctb]
Maintainer:Dominique Makowski <officialeasystats at gmail.com>
BugReports:https://github.com/easystats/bayestestR/issues
License:GPL-3
URL:https://easystats.github.io/bayestestR/
NeedsCompilation:no
Language:en-US
Citation:bayestestR citation info
Materials:README,NEWS
In views:Bayesian
CRAN checks:bayestestR results

Documentation:

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

Downloads:

Package source: bayestestR_0.17.0.tar.gz
Windows binaries: r-devel:bayestestR_0.17.0.zip, r-release:bayestestR_0.17.0.zip, r-oldrel:bayestestR_0.17.0.zip
macOS binaries: r-release (arm64):bayestestR_0.17.0.tgz, r-oldrel (arm64):bayestestR_0.17.0.tgz, r-release (x86_64):bayestestR_0.17.0.tgz, r-oldrel (x86_64):bayestestR_0.17.0.tgz
Old sources: bayestestR archive

Reverse dependencies:

Reverse imports:BaHZING,bayesMeanScale,brmsmargins,clinicalsignificance,correlation,easystats,eDNAjoint,effectsize,fbst,GCEstim,LoTTA,modelbased,movedesign,multifear,neatStats,parameters,pcvr,performance,psycho,report,rstanbdp,see,sjPlot,snSMART,SSVS,statsExpressions,survregVB
Reverse suggests:BayesERtools,datawizard,DPI,emmeans,ggeffects,ggstatsplot,insight,marginaleffects,nichetools,ordbetareg,qbrms

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bayestestRto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp