pema

Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) doi:10.31234/osf.io/6phs5. In meta-analysis, there are often between-study differences. These can be coded as moderator variables, and controlled for using meta-regression. However, if the number of moderators is large relative to the number of studies, such an analysis may be overfit. Penalized meta-regression is useful in these cases, because it shrinks the regression slopes of irrelevant moderators towards zero.

Last 30 days

This package has been downloaded 978 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 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 14,506 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jun 19, 2024 with 105 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.