WMAP

Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) doi:10.1093/biomtc/ujae070, which includes an extension of inverse probability weights for data integration settings.

Last 30 days

This package has been downloaded 131 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 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 1,101 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Nov 11, 2024 with 44 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.