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] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>)
MaintainerDominique Makowski <[email protected]>
LicenseGPL-3
Version0.2.5
URL https://github.com/easystats/bayestestR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayestestR")

Try the bayestestR package in your browser

Any scripts or data that you put into this service are public.

bayestestR documentation built on Aug. 6, 2019, 5:12 p.m.