easystats/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).

Getting started

Package details

MaintainerDominique Makowski <[email protected]>
LicenseGPL-3
Version0.4.0.1
URL https://github.com/easystats/bayestestR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("easystats/bayestestR")
easystats/bayestestR documentation built on Nov. 18, 2019, 9:59 p.m.