beeca

Performs estimation of marginal treatment effects for binary outcomes when using logistic regression working models with covariate adjustment (see discussions in Magirr et al (2024) [https://osf.io/9mp58/]). Implements the variance estimators of Ge et al (2011) [doi:10.1177/009286151104500409] and Ye et al (2023) [doi:10.1080/24754269.2023.2205802].

Last 30 days

This package has been downloaded 548 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 12 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 5,564 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 146 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.