LearnBayes

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Last 30 days

This package has been downloaded 7,862 times in the last 30 days. A solid achievement! Enough downloads to get noticed at department meetings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 260 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 73,270 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Mar 04, 2025 with 491 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.