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bayestestR

swMATH ID: 29804
Software Authors: Dominique Makowski, Daniel Lüdecke, Mattan S. Ben-Shachar, Michael D. Wilson, Paul-Christian Bürkner, Tristan Mahr
Description: R package 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).
Homepage: https://cran.r-project.org/web/packages/bayestestR/index.html
Source Code:  https://github.com/cran/bayestestR
Dependencies: R
Keywords: Journal of Open Source Software; JOSS publication; R; R package; Bayesian framework; posterior distribution
Related Software: R; performance; Stan; insight; effectsize; ggplot2; tidyverse; see; parameters; rstanarm; ggstatsplot; easystats; brms; RStan; broom; correlation; rethinking; BayesPostEst; statsExpressions; BayesFactor
Cited in: 6 Documents

Standard Articles

1 Publication describing the Software Year
bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework Link
Dominique Makowski, Mattan S. Ben-Shachar, Daniel Lüdecke
2019

Citations by Year