htestClust

A collection of reweighted marginal hypothesis tests for clustered data, based on reweighting methods of Williamson, J., Datta, S., and Satten, G. (2003) doi:10.1111/1541-0420.00005. The tests in this collection are clustered analogs to well-known hypothesis tests in the classical setting, and are appropriate for data with cluster- and/or group-size informativeness. The syntax and output of functions are modeled after common, recognizable functions native to R. Methods used in the package refer to Gregg, M., Datta, S., and Lorenz, D. (2020) doi:10.1177/0962280220928572, Nevalainen, J., Oja, H., and Datta, S. (2017) doi:10.1002/sim.7288 Dutta, S. and Datta, S. (2015) doi:10.1111/biom.12447, Lorenz, D., Datta, S., and Harkema, S. (2011) doi:10.1002/sim.4368, Datta, S. and Satten, G. (2008) doi:10.1111/j.1541-0420.2007.00923.x, Datta, S. and Satten, G. (2005) doi:10.1198/016214504000001583.

Last 30 days

This package has been downloaded 195 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 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 2,681 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 31 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.