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 the tidybayes package, which builds on top of ggdist
).
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:
All geoms in ggdist
also have stat_dist_
counterparts designed for visualizing analytical distributions, which is particularly useful when visualizing uncertainty in frequentist models (see vignette("freq-uncertainty-vis")
) or when visualizing priors in a Bayesian analysis.
The ggdist
geoms and stats also form a core part of the tidybayes package (in fact, they originally were part of tidybayes
). For examples of the use of ggdist
geoms and stats for visualizing uncertainty in Bayesian models, see the vignettes in tidybayes, such as vignette("tidybayes", package = "tidybayes")
or vignette("tidy-brms", package = "tidybayes")
.
You can install the currently-released version from CRAN with this R command:
install.packages("ggdist")
Alternatively, you can install the latest development version from GitHub with these R commands:
install.packages("devtools")
devtools::install_github("mjskay/ggdist")
I welcome feedback, suggestions, issues, and contributions! Contact me at mjskay@northwestern.edu. If you have found a bug, please file it here with minimal code to reproduce the issue. Pull requests should be filed against the dev
branch.
ggdist
Matthew Kay (2020). ggdist: Visualizations of Distributions and Uncertainty. R package version 2.4.0, https://mjskay.github.io/ggdist/. DOI: 10.5281/zenodo.3879620.