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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>.

Versions across snapshots

VersionRepositoryFileSize
0.17.0 rolling linux/jammy R-4.5 bayestestR_0.17.0.tar.gz 1.1 MiB
0.17.0 rolling linux/noble R-4.5 bayestestR_0.17.0.tar.gz 1.1 MiB
0.17.0 rolling source/ R- bayestestR_0.17.0.tar.gz 423.7 KiB
0.17.0 latest linux/jammy R-4.5 bayestestR_0.17.0.tar.gz 1.1 MiB
0.17.0 latest linux/noble R-4.5 bayestestR_0.17.0.tar.gz 1.1 MiB
0.17.0 latest source/ R- bayestestR_0.17.0.tar.gz 423.7 KiB
0.17.0 2026-04-26 source/ R- bayestestR_0.17.0.tar.gz 423.7 KiB
0.17.0 2026-04-23 source/ R- bayestestR_0.17.0.tar.gz 423.7 KiB
0.17.0 2026-04-09 windows/windows R-4.5 bayestestR_0.17.0.zip 1.1 MiB
0.15.2 2025-04-20 source/ R- bayestestR_0.15.2.tar.gz 412.4 KiB

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