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hettx  

Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
View on CRAN: Click here


Download and install hettx package within the R console
Install from CRAN:
install.packages("hettx")

Install from Github:
library("remotes")
install_github("cran/hettx")

Install by package version:
library("remotes")
install_version("hettx", "1.0.1")



Attach the package and use:
library("hettx")
Maintained by
Ben Fifield
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-06
Latest Update: 2023-08-19
Description:
Implements methods developed by Ding, Feller, and Miratrix (2016) , and Ding, Feller, and Miratrix (2018) 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.
How to cite:
Ben Fifield (2019). hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation. R package version 1.0.1, https://cran.r-project.org/web/packages/hettx. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.1.1 (2019-03-06 16:20), 0.1.2 (2023-02-16 04:20), 0.1.3 (2023-08-20 00:22)
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Complete documentation for hettx
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