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).
| Version: |
0.13.0 |
| Depends: |
R (≥ 3.6) |
| Imports: |
insight (≥ 0.18.2), datawizard (≥ 0.5.1), graphics, methods, stats, utils |
| Suggests: |
BayesFactor, bayesQR, bayesplot, BH, blavaan, bridgesampling, brms, effectsize, emmeans, gamm4, ggdist, ggplot2, glmmTMB, httr, KernSmooth, knitr, lavaan, lme4, logspline, MASS, mclust, mediation, modelbased, parameters, patchwork, performance, quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm, see, testthat, tweedie |
| Published: |
2022-09-18 |
| Author: |
Dominique Makowski
 [aut, cre]
(@Dom_Makowski),
Daniel Lüdecke
[aut] (@strengejacke),
Mattan S. Ben-Shachar
[aut]
(@mattansb),
Indrajeet Patil
[aut] (@patilindrajeets),
Michael D. Wilson
[aut],
Brenton M. Wiernik
[aut]
(@bmwiernik),
Paul-Christian Bürkner [rev],
Tristan Mahr
[rev],
Henrik Singmann
[ctb],
Quentin F. Gronau
[ctb],
Sam Crawley [ctb] |
| 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 |