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: | 2.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr (≥ 0.8.0), tidyr (≥ 1.0.0), ggplot2 (≥ 3.3.0), purrr (≥ 0.2.3), rlang (≥ 0.3.0), scales, grid, forcats, HDInterval, tibble, vctrs, distributional |
Suggests: | knitr, testthat, vdiffr (≥ 0.3.0), svglite, broom (≥ 0.5.6), modelr, cowplot, covr, gdtools, rmarkdown, png, pkgdown |
Published: | 2020-07-12 |
Author: | Matthew Kay [aut, cre] |
Maintainer: | Matthew Kay <mjskay at umich.edu> |
BugReports: | https://github.com/mjskay/ggdist/issues/new |
License: | GPL (≥ 3) |
URL: | http://mjskay.github.io/ggdist, https://github.com/mjskay/ggdist |
NeedsCompilation: | no |
Language: | en-US |
Citation: | ggdist citation info |
Materials: | NEWS |
CRAN checks: | ggdist results |
Reference manual: | ggdist.pdf |
Vignettes: |
Frequentist uncertainty visualization Slab + interval stats and geoms |
Package source: | ggdist_2.2.0.tar.gz |
Windows binaries: | r-devel: ggdist_2.2.0.zip, r-release: ggdist_2.2.0.zip, r-oldrel: ggdist_2.1.1.zip |
macOS binaries: | r-release: ggdist_2.2.0.tgz, r-oldrel: ggdist_2.1.1.tgz |
Old sources: | ggdist archive |
Reverse imports: | multinma, tidybayes |
Reverse suggests: | distributional |
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