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>.">

bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (original) (raw)

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: 0.15.0
Depends: R (≥ 3.6)
Imports: insight (≥ 0.20.5), datawizard (≥ 0.13.0), 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 (≥ 0.21.0), MASS, mclust, mediation, modelbased, ordbetareg, parameters, patchwork, performance, quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm, see (≥ 0.8.5), testthat, tweedie, withr
Published: 2024-10-17
DOI: 10.32614/CRAN.package.bayestestR
Author: Dominique MakowskiORCID iD [aut, cre], Daniel Lüdecke ORCID iD [aut], Mattan S. Ben-ShacharORCID iD [aut], Indrajeet Patil ORCID iD [aut], Micah K. Wilson ORCID iD [aut], Brenton M. WiernikORCID 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

Documentation:

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Reverse dependencies:

Reverse imports: bayesMeanScale, brmsmargins, clinicalsignificance, correlation, easystats, eDNAjoint, effectsize, fbst, modelbased, multifear, multilevelcoda, neatStats, parameters, pcvr, performance, psycho, report, rstanbdp, see, sjPlot, snSMART, SSVS
Reverse suggests: datawizard, emmeans, ggeffects, insight, nichetools, ordbetareg, statsExpressions

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