gWQS

Fits Weighted Quantile Sum (WQS) regression (Carrico et al. (2014) doi:10.1007/s13253-014-0180-3), a random subset implementation of WQS (Curtin et al. (2019) doi:10.1080/03610918.2019.1577971), a repeated holdout validation WQS (Tanner et al. (2019) doi:10.1016/j.mex.2019.11.008) and a WQS with 2 indices (Renzetti et al. (2023) doi:10.3389/fpubh.2023.1289579) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes.

Last 30 days

This package has been downloaded 1,172 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 53 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 11,730 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Aug 22, 2024 with 90 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.