bayestestR (0.1.0)

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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, 2014 ) and indices used for null-hypothesis testing (such as ROPE percentage and pd).

Maintainer: Dominique Makowski
Author(s): Dominique Makowski [aut, cre] (<>), Daniel Ldecke [aut] (<>)

License: GPL-3

Uses: insight, ggplot2, stringr, testthat, knitr, dplyr, tidyr, rmarkdown, broom, brms, covr, rstanarm, ggridges

Released 12 days ago.



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