ggdist

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) https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html, 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.

Last 30 days

This package has been downloaded 30,317 times in the last 30 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1,017 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 344,644 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Feb 10, 2025 with 2,485 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.