bayestestR swMATH ID: 29804 Software Authors: Dominique Makowski, Daniel Lüdecke, Mattan S. Ben-Shachar, Michael D. Wilson, Paul-Christian Bürkner, Tristan Mahr Description: R package 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). Homepage: https://cran.r-project.org/web/packages/bayestestR/index.html Source Code: https://github.com/cran/bayestestR Dependencies: R Keywords: Journal of Open Source Software; JOSS publication; R; R package; Bayesian framework; posterior distribution Related Software: R; performance; insight; effectsize; Stan; see; parameters; ggplot2; rstanarm; tidyverse; ggstatsplot; easystats; broom; BayesFactor; brms; correlation; BayesPostEst; statsExpressions; bayest; fbst Cited in: 2 Publications Standard Articles 1 Publication describing the Software Year Cited by 2 Authors 1 Jhwueng, Dwueng-Chwuan 1 Kelter, Riko Cited in 1 Serial 2 Computational Statistics and Data Analysis Cited in 1 Field 2 Statistics (62-XX) Citations by Year