ggdist is an R package that aims to make it easy to integrate
popular Bayesian modeling methods into a tidy data + ggplot workflow.
Details
ggdist is an R package that provides a flexible set of ggplot2 geoms and stats designed
especially for visualizing distributions and uncertainty. It is designed for both
frequentist and Bayesian uncertainty visualization, taking the view that uncertainty
visualization can be unified through the perspective of distribution visualization:
for frequentist models, one visualizes confidence distributions or bootstrap distributions
(see vignette("freq-uncertainty-vis")); for Bayesian models, one visualizes probability
distributions (see vignette("tidybayes", package = "tidybayes")).
The geom_slabinterval() / stat_slabinterval() family (see vignette("slabinterval")) makes it
easy to visualize point summaries and intervals, eye plots, half-eye plots, ridge plots,
CCDF bar plots, gradient plots, histograms, and more.
The geom_dotsinterval() / stat_dotsinterval() family (see vignette("dotsinterval")) makes
it easy to visualize dot+interval plots, Wilkinson dotplots, beeswarm plots, and quantile dotplots.
The geom_lineribbon() / stat_lineribbon() family (see vignette("lineribbon"))
makes it easy to visualize fit lines with an arbitrary number of uncertainty bands.
Author
Maintainer: Matthew Kay mjskay@northwestern.edu
Other contributors:
Brenton M. Wiernik brenton@wiernik.org [contributor]