ggdist is an R package that aims to make it easy to integrate
popular Bayesian modeling methods into a tidy data + ggplot workflow.
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
vignette("freq-uncertainty-vis")); for Bayesian models, one visualizes probability
vignette("tidybayes", package = "tidybayes")).
stat_dist_slabinterval() family (see
point summaries and intervals, eye plots, half-eye plots, CCDF bar plots, gradient plots, dotplots, and histograms.
stat_dist_lineribbon() family (see
makes it easy to visualize fit lines with an arbitrary number of uncertainty bands.
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