bayesmeta

A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) doi:10.18637/jss.v093.i06, or Roever C and Friede T (2022) doi:10.1016/j.cmpb.2022.107303.

Last 30 days

This package has been downloaded 1,264 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 41 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 9,903 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 05, 2025 with 100 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.