inferference

Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) doi:10.18637/jss.v082.i02. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) doi:10.1177/0962280210386779.

Last 30 days

This package has been downloaded 227 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 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 3,566 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 73 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.