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 7,630 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 259 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 72,935 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. 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.