DominiqueMakowski/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 <dom.makowski@gmail.com>
LicenseGPL-3
Version0.10.5
URL https://easystats.github.io/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("DominiqueMakowski/bayestestR")
DominiqueMakowski/bayestestR documentation built on July 22, 2021, 3:20 a.m.