tidybayes: Tidy Data and 'Geoms' for Bayesian Models

Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.

Package overview Extracting and visualizing tidy draws from brms models" Extracting and visualizing tidy draws from rstanarm models" Extracting and visualizing tidy residuals from Bayesian models" Using tidybayes with the posterior package" Using tidy data with Bayesian models"

Vignettes Man pages API and functions Files

Package details
Author	Matthew Kay [aut, cre], Timothy Mastny [ctb]
Maintainer	Matthew Kay <mjskay@northwestern.edu>
License	GPL (>= 3)
Version	3.0.7
URL	https://mjskay.github.io/tidybayes/ https://github.com/mjskay/tidybayes/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("tidybayes")`