`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
(see `vignette("freq-uncertainty-vis")`

); for Bayesian models, one visualizes probability
distributions (see `vignette("tidybayes", package = "tidybayes")`

).

The `geom_slabinterval()`

/ `stat_slabinterval()`

/ `stat_dist_slabinterval()`

family (see `vignette("slabinterval")`

) includes
point summaries and intervals, eye plots, half-eye plots, CCDF bar plots, gradient plots, dotplots, and histograms.

The `geom_lineribbon()`

/ `stat_lineribbon()`

/ `stat_dist_lineribbon()`

family (see `vignette("lineribbon")`

)
makes it easy to visualize fit lines with an arbitrary number of uncertainty bands.

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