hettx
Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
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.
- Version0.1.3
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release08/19/2023
Documentation
Team
Ben Fifield
Luke Miratrix
Show author detailsRolesAuthorPeng Ding
Show author detailsRolesAuthorAvi Feller
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 193 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 7 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 2,902 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 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.
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Dependencies
- Imports12 packages
- Suggests3 packages