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 490 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 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 5,784 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. 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.