mjskay/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.

Getting started

Package details

MaintainerMatthew Kay <[email protected]>
LicenseGPL (>= 3)
Version1.0.3.9000
URL http://mjskay.github.io/tidybayes https://github.com/mjskay/tidybayes
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mjskay/tidybayes")
mjskay/tidybayes documentation built on Nov. 9, 2018, 3:07 a.m.