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). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
| Version: |
0.17.0 |
| Depends: |
R (≥ 3.6) |
| Imports: |
insight (≥ 1.4.1), datawizard (≥ 1.2.0), graphics, methods, stats, utils |
| Suggests: |
BayesFactor (≥ 0.9.12-4.4), bayesQR, bayesplot, betareg, BH, blavaan, bridgesampling, brms, collapse, curl, effectsize, emmeans, gamm4, ggdist, ggplot2, glmmTMB, httr2, KernSmooth, knitr, lavaan, lme4, logspline (≥ 2.1.21), marginaleffects (≥
0.29.0), MASS, mclust, mediation, modelbased, ordbetareg, parameters, patchwork, performance, posterior, quadprog, RcppEigen, rmarkdown, rstan, rstanarm, see (≥ 0.8.5), testthat, tinytable, tweedie, withr |
| Published: |
2025-08-29 |
| DOI: |
10.32614/CRAN.package.bayestestR |
| Author: |
Dominique Makowski
 [aut, cre],
Daniel Lüdecke
[aut],
Mattan S. Ben-Shachar
[aut],
Indrajeet Patil
[aut],
Micah K. Wilson
[aut],
Brenton M. Wiernik
[aut],
Paul-Christian Bürkner [rev],
Tristan Mahr
[rev],
Henrik Singmann
[ctb],
Quentin F. Gronau
[ctb],
Sam Crawley [ctb] |
| Maintainer: |
Dominique Makowski <officialeasystats at gmail.com> |
| BugReports: |
https://github.com/easystats/bayestestR/issues |
| License: |
GPL-3 |
| URL: |
https://easystats.github.io/bayestestR/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
bayestestR citation info |
| Materials: |
README, NEWS |
| In views: |
Bayesian |
| CRAN checks: |
bayestestR results |