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).

Package details

AuthorDominique Makowski [aut, cre] (<>, @Dom_Makowski), Daniel Lüdecke [aut] (<>, @strengejacke), Mattan S. Ben-Shachar [aut] (<>, @mattansb), Indrajeet Patil [aut] (<>, @patilindrajeets), Michael D. Wilson [aut] (<>), Brenton M. Wiernik [aut] (<>, @bmwiernik), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<>), Henrik Singmann [ctb] (<>), Quentin F. Gronau [ctb] (<>), Sam Crawley [ctb] (<>)
MaintainerDominique Makowski <>
Package repositoryView on CRAN
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bayestestR documentation built on Sept. 5, 2021, 5:27 p.m.