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: |
0.15.1 |
| Depends: |
R (≥ 3.6) |
| Imports: |
insight (≥ 1.0.0), datawizard (≥ 1.0.0), 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 (≥
0.24.0), MASS, mclust, mediation, modelbased, ordbetareg, parameters, patchwork, performance, quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm, see (≥ 0.8.5), testthat, tweedie, withr |
| Published: |
2025-01-17 |
| DOI: |
10.32614/CRAN.package.bayestestR |
| Author: |
Dominique 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>),
Indrajeet Patil
[aut] (<https://orcid.org/0000-0003-1995-6531>),
Micah K. Wilson
[aut] (<https://orcid.org/0000-0003-4143-7308>),
Brenton M. Wiernik
[aut]
(<https://orcid.org/0000-0001-9560-6336>),
Paul-Christian Bürkner [rev],
Tristan Mahr
[rev] (<https://orcid.org/0000-0002-8890-5116>),
Henrik Singmann
[ctb] (<https://orcid.org/0000-0002-4842-3657>),
Quentin F. Gronau
[ctb] (<https://orcid.org/0000-0001-5510-6943>),
Sam Crawley [ctb]
(<https://orcid.org/0000-0002-7847-0411>) |
| Maintainer: |
Dominique Makowski <dom.makowski 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 |