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).
| Version: | 0.10.0 |
| Depends: | R (≥ 3.4) |
| Imports: | insight (≥ 0.13.2), methods, stats, utils |
| Suggests: | BayesFactor, bayesQR, blavaan, bridgesampling, brms, dplyr, effectsize, emmeans, GGally, ggplot2, ggridges, httr, KernSmooth, knitr, lavaan, lme4, logspline, MASS, mclust, mediation, modelbased, parameters, performance, rmarkdown, rstan, rstanarm, see, spelling, stringr, testthat, tidyr, tweedie |
| Published: | 2021-05-31 |
| 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],
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 |
Downloads:
| Reference manual: | bayestestR.pdf |
| Vignettes: |
Bayes Factors Get Started with Bayesian Analysis Credible Intervals (CI) 1. Initiation to Bayesian models 2. Confirmation of Bayesian skills 3. Become a Bayesian master Reporting Guidelines In-Depth 2: Comparison of Indices of Effect Existence and Significance Mediation Analysis using Bayesian Regression Models Probability of Direction (pd) Region of Practical Equivalence (ROPE) |
| Package source: | bayestestR_0.10.0.tar.gz |
| Windows binaries: | r-devel: bayestestR_0.10.0.zip, r-release: bayestestR_0.10.0.zip, r-oldrel: bayestestR_0.10.0.zip |
| macOS binaries: | r-release (arm64): bayestestR_0.10.0.tgz, r-release (x86_64): bayestestR_0.10.0.tgz, r-oldrel: bayestestR_0.10.0.tgz |
| Old sources: | bayestestR archive |
Reverse dependencies:
| Reverse imports: | correlation, effectsize, eiCompare, fbst, modelbased, multifear, neatStats, parameters, performance, psycho, report, see, sjPlot, sjstats |
| Reverse suggests: | coveffectsplot, datawizard, emmeans, insight |
Linking:
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