easystats/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). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Getting started
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Package details |
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| Maintainer | Dominique Makowski <dom.makowski@gmail.com> |
| License | GPL-3 |
| Version | 0.15.0.4 |
| URL | https://easystats.github.io/bayestestR/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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