ggdist: Visualizations of Distributions and Uncertainty

Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <doi:10.1111/1467-985X.00120>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ribbons.

Version: 2.4.0
Depends: R (≥ 3.5.0)
Imports: tidyselect, dplyr (≥ 1.0.0), tidyr (≥ 1.0.0), ggplot2 (≥ 3.3.0), purrr (≥ 0.2.3), rlang (≥ 0.3.0), scales, grid, forcats, HDInterval, tibble, vctrs, fda, distributional (≥ 0.2.0)
Suggests: knitr, testthat, vdiffr (≥ 0.3.0), svglite, broom (≥ 0.5.6), modelr, cowplot, covr, gdtools, rmarkdown, png, pkgdown
Published: 2021-01-04
Author: Matthew Kay [aut, cre]
Maintainer: Matthew Kay <mjskay at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Citation: ggdist citation info
Materials: NEWS
CRAN checks: ggdist results


Reference manual: ggdist.pdf
Vignettes: Frequentist uncertainty visualization
Lineribbon stats and geoms
Slab + interval stats and geoms
Package source: ggdist_2.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: ggdist_2.4.0.tgz, r-oldrel: ggdist_2.4.0.tgz
Old sources: ggdist archive

Reverse dependencies:

Reverse imports: multinma, tidybayes
Reverse suggests: distributional


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