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 ) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).

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Reference manual

install.packages("bayestestR")

0.6.0 by Dominique Makowski, a month ago

https://easystats.github.io/bayestestR/

Report a bug at https://github.com/easystats/bayestestR/issues

Browse source code at https://github.com/cran/bayestestR

Authors: Dominique Makowski [aut, cre] , Daniel Lüdecke [aut] , Mattan S. Ben-Shachar [aut] , Michael D. Wilson [aut] , Paul-Christian Bürkner [rev] , Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gronau [ctb]