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CRAN: Package hettx

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.

Version: 0.1.3 Depends: R (≥ 2.14.0) Imports: quantreg, plyr, mvtnorm, MASS, foreach, parallel, doParallel, moments, formula.tools, purrr, dplyr, ggplot2, tidyr Suggests: testthat, knitr, rmarkdown Published: 2023-08-19 DOI: 10.32614/CRAN.package.hettx Author: Peng Ding [aut], Avi Feller [aut], Ben Fifield [aut, cre], Luke Miratrix [aut] Maintainer: Ben Fifield <benfifield at gmail.com> BugReports: https://github.com/bfifield/hettx/issues License: GPL (≥ 3) NeedsCompilation: no In views: CausalInference CRAN checks: hettx results Documentation: Downloads: Linking:

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