targeted

Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) doi:10.1111/j.1541-0420.2005.00377.x), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) doi:10.2202/1557-4679.1008), estimators for risk differences and relative risks (Richardson et al. (2017) doi:10.1080/01621459.2016.1192546), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) doi:10.1111/rssb.12504).

Last 30 days

This package has been downloaded 915 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 33 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 11,885 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Apr 25, 2024 with 80 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.