hettx

Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

CRAN Package

Implements methods developed by Ding, Feller, and Miratrix (2016) doi:10.1111/rssb.12124 doi:10.48550/arXiv.1412.5000, and Ding, Feller, and Miratrix (2018) doi:10.1080/01621459.2017.1407322 doi:10.48550/arXiv.1605.06566 for testing whether there is unexplained variation in treatment effects across observations, and for characterizing the extent of the explained and unexplained variation in treatment effects. The package includes wrapper functions implementing the proposed methods, as well as helper functions for analyzing and visualizing the results of the test.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 178 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 4 times.

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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 2,883 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 33 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.

Data provided by CRAN


Binaries


Dependencies

  • Imports12 packages
  • Suggests3 packages