mjskay/ ggdist
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GNU General Public License v3.0 
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Description
Visualizations of distributions and uncertainty
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Readme
ggdist: Visualizations of distributions and uncertainty
ggdist is an R package that provides a flexible set of
ggplot2geoms 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:
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All geoms in
ggdistalso 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
ggdistgeoms 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
ggdistgeoms 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").
Cheat sheets
Installation
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")
Feedback, issues, and contributions
I welcome feedback, suggestions, issues, and contributions! Contact me at [email protected]. If you have found a bug, please file it here with minimal code to reproduce the issue. Pull requests should be filed against the
devbranch.
Citing 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.