bayestestR: Understand and Describe Bayesian Models and Posterior Distributions
Dominique Makowski, Daniel Lüdecke, Mattan S. Ben‐Shachar, Indrajeet Patil, Micah K. Wilson, Brenton M. Wiernik · 2019
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). References: Makowski et al. (2021) .