Understand and Describe Bayesian Models and Posterior Distributions R package bayestestR version 0.18.1 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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>. Software Depends: R (>= 3.6) Imports: insight (>= 1.5.0.6), datawizard (>= 1.3.1), graphics, methods, stats, utils Suggests: BayesFactor (>= 0.9.12-4.4), bayesQR, bayesplot, betareg, BH, blavaan, bridgesampling (>= 1.2-1), 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 Dominique Makowski <officialeasystats@gmail.com> Comprehensive R Archive Network (CRAN) Dominique Makowski [aut, cre] (ORCID: <https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (ORCID: <https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (ORCID: <https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (ORCID: <https://orcid.org/0000-0003-1995-6531>), Micah K. Wilson [aut] (ORCID: <https://orcid.org/0000-0003-4143-7308>), Brenton M. Wiernik [aut] (ORCID: <https://orcid.org/0000-0001-9560-6336>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (ORCID: <https://orcid.org/0000-0002-8890-5116>), Henrik Singmann [ctb] (ORCID: <https://orcid.org/0000-0002-4842-3657>), Quentin F. Gronau [ctb] (ORCID: <https://orcid.org/0000-0001-5510-6943>), Sam Crawley [ctb] (ORCID: <https://orcid.org/0000-0002-7847-0411>) GPL-3 2026-05-24 application/tgz https://CRAN.R-project.org/package=bayestestR doi:10.32614/CRAN.package.bayestestR en-US