cdgd

The framework of causal decomposition of group disparities developed by Yu and Elwert (2023) doi:10.48550/arXiv.2306.16591. This package implements the decomposition estimators that are based on efficient influence functions. For the nuisance functions of the estimators, both parametric and nonparametric options are provided, as well as manual options in case the default models are not satisfying.

Last 30 days

This package has been downloaded 229 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 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 3,038 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 17, 2024 with 84 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.