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bayestestR is an R package (part of the easystats ecosystem) that provides a comprehensive toolkit to describe and summarize posterior distributions from Bayesian models, compatible with models from rstanarm, brms, and BayesFactor. It offers functions to summarize central tendency and uncertainty (HDI, CI, SPI, ETI) and to assess effect existence and significance (p_direction, p_rope, p_significance, Bayes factors), including a master describe_posterior function that computes multiple indices at once. The package is available on CRAN with a development version on R-universe (via easystats), and it includes tutorials and documentation for getting started.
AI named bayestestR in February 2026.