bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

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: 0.13.2
Depends: R (≥ 3.6)
Imports: insight (≥ 0.19.8), datawizard (≥ 0.9.1), graphics, methods, stats, utils
Suggests: BayesFactor (≥ 0.9.12-4.4), bayesQR, bayesplot, BH, blavaan, bridgesampling, brms, curl, effectsize, emmeans, gamm4, ggdist, ggplot2, glmmTMB, httr, KernSmooth, knitr, lavaan, lme4, logspline (≥ 2.1.21), MASS, mclust, mediation, modelbased, parameters, patchwork, performance, quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm, see (≥ 0.7.5), testthat, tweedie
Published: 2024-02-12
DOI: 10.32614/CRAN.package.bayestestR
Author: Dominique Makowski ORCID iD [aut, cre] (@Dom_Makowski), Daniel Lüdecke ORCID iD [aut] (@strengejacke), Mattan S. Ben-Shachar ORCID iD [aut] (@mattansb), Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Michael D. Wilson ORCID iD [aut], Brenton M. Wiernik ORCID iD [aut] (@bmwiernik), Paul-Christian Bürkner [rev], Tristan Mahr ORCID iD [rev], Henrik Singmann ORCID iD [ctb], Quentin F. Gronau ORCID iD [ctb], Sam Crawley ORCID iD [ctb]
Maintainer: Dominique Makowski <dom.makowski at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: bayestestR citation info
Materials: README NEWS
In views: Bayesian
CRAN checks: bayestestR results


Reference manual: bayestestR.pdf
Vignettes: Overview of Vignettes


Package source: bayestestR_0.13.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayestestR_0.13.2.tgz, r-oldrel (arm64): bayestestR_0.13.2.tgz, r-release (x86_64): bayestestR_0.13.2.tgz, r-oldrel (x86_64): bayestestR_0.13.2.tgz
Old sources: bayestestR archive

Reverse dependencies:

Reverse imports: bayesMeanScale, brmsmargins, clinicalsignificance, correlation, easystats, effectsize, fbst, modelbased, multifear, multilevelcoda, neatStats, parameters, performance, psycho, report, rstanbdp, see, sjPlot, snSMART, SSVS
Reverse suggests: datawizard, emmeans, ggeffects, insight, ordbetareg, statsExpressions


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