[aut, cre],
Daniel Lüdecke
[aut],
Mattan S. Ben-Shachar
[aut],
Michael D. Wilson
[aut],
Paul-Christian Bürkner [rev],
Tristan Mahr
[rev],
Henrik Singmann
[ctb],
Quentin F. Gronau
[ctb]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: | 0.7.2 |
| Depends: | R (≥ 3.0) |
| Imports: | insight (≥ 0.8.4), methods, stats, utils |
| Suggests: | BayesFactor, bayesQR, bridgesampling, brms, broom, covr, dplyr, emmeans, GGally, ggplot2, ggridges, KernSmooth, knitr, MASS, mclust, modelbased, lme4, logspline, mediation, parameters, performance, rmarkdown, rstan, rstanarm, see, stringr, testthat, tidyr, tweedie |
| Published: | 2020-07-20 |
| Author: | Dominique Makowski
[aut, cre],
Daniel Lüdecke
[aut],
Mattan S. Ben-Shachar
[aut],
Michael D. Wilson
[aut],
Paul-Christian Bürkner [rev],
Tristan Mahr
[rev],
Henrik Singmann
[ctb],
Quentin F. Gronau
[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-GB |
| Citation: | bayestestR citation info |
| Materials: | README NEWS |
| CRAN checks: | bayestestR results |
| Reference manual: | bayestestR.pdf |
| Vignettes: |
Bayes Factors Get Started with Bayesian Analysis Credible Intervals (CI) Example 1: Initiation to Bayesian models Example 2: Confirmation of Bayesian skills Example 3: Become a Bayesian master Reporting Guidelines In-Depth 1: Comparison of Point-Estimates In-Depth 2: Comparison of Indices of Effect Existence Probability of Direction (pd) Region of Practical Equivalence (ROPE) |
| Package source: | bayestestR_0.7.2.tar.gz |
| Windows binaries: | r-devel: bayestestR_0.7.2.zip, r-release: bayestestR_0.7.2.zip, r-oldrel: bayestestR_0.7.2.zip |
| macOS binaries: | r-release: bayestestR_0.7.2.tgz, r-oldrel: bayestestR_0.7.2.tgz |
| Old sources: | bayestestR archive |
| Reverse imports: | correlation, effectsize, fbst, modelbased, neatStats, parameters, performance, psycho, see, sjPlot, sjstats |
| Reverse suggests: | coveffectsplot, insight |
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