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: 0.10.5
Depends: R (≥ 3.4)
Imports: insight (≥ 0.14.1), datawizard, 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: 2021-07-26
Author: Dominique Makowski ORCID iD [aut, cre] (@Dom_Makowski), Daniel Lüdecke ORCID iD [aut] (@strengejacke), Mattan S. Ben-Shachar ORCID iD [aut] (@mattansb), Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Michael D. Wilson ORCID iD [aut], Paul-Christian Bürkner [rev], Tristan Mahr ORCID iD [rev], Henrik Singmann ORCID iD [ctb], Quentin F. Gronau ORCID iD [ctb], Sam Crawley ORCID iD [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_0.10.5.tar.gz
Windows binaries: r-devel: bayestestR_0.10.0.zip, r-release: bayestestR_0.10.5.zip, r-oldrel: bayestestR_0.10.5.zip
macOS binaries: r-release (arm64): bayestestR_0.10.5.tgz, r-release (x86_64): bayestestR_0.10.5.tgz, r-oldrel: bayestestR_0.10.5.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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