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> <arXiv:1412.5000>, and Ding, Feller, and Miratrix (2018) <doi:10.1080/01621459.2017.1407322> <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: 0.1.1
Depends: R (≥ 2.14.0)
Imports: quantreg, plyr, mvtnorm, MASS, foreach, parallel, doParallel, moments, formula.tools, purrr, dplyr, tidyverse
Suggests: testthat, knitr, rmarkdown
Published: 2019-03-06
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/detect_heteffects/issues
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: hettx results


Reference manual: hettx.pdf
Vignettes: detect_idiosyncratic() Tutorial
estimate_systematic() Tutorial
Package source: hettx_0.1.1.tar.gz
Windows binaries: r-devel: hettx_0.1.1.zip, r-release: hettx_0.1.1.zip, r-oldrel: hettx_0.1.1.zip
OS X binaries: r-release: hettx_0.1.1.tgz, r-oldrel: hettx_0.1.1.tgz


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