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, 2014 <doi:10.1016/B978-0-12-405888-0.09999-2>) and indices used for null-hypothesis testing (such as ROPE percentage and pd).
Version: | 0.1.0 |
Depends: | R (≥ 3.0), stats |
Imports: | insight |
Suggests: | brms, broom, covr, dplyr, tidyr, ggplot2, ggridges, knitr, rmarkdown, rstanarm, stringr, testthat |
Published: | 2019-04-08 |
Author: | Dominique Makowski |
Maintainer: | Dominique Makowski <dom.makowski at gmail.com> |
BugReports: | https://github.com/easystats/bayestestR/issues |
License: | GPL-3 |
URL: | https://github.com/easystats/bayestestR |
NeedsCompilation: | no |
Language: | en-GB |
Citation: | bayestestR citation info |
Materials: | NEWS |
CRAN checks: | bayestestR results |
Reference manual: | bayestestR.pdf |
Vignettes: |
Get Started with Bayesian Analysis Example 1: Bayesian (General) Linear Models Reporting Guidelines In-Depth 1: Comparison of Point-Estimates In-Depth 2: Comparison of Indices of Effect Existence |
Package source: | bayestestR_0.1.0.tar.gz |
Windows binaries: | r-devel: bayestestR_0.1.0.zip, r-release: bayestestR_0.1.0.zip, r-oldrel: bayestestR_0.1.0.zip |
OS X binaries: | r-release: bayestestR_0.1.0.tgz, r-oldrel: not available |
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