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 |
macOS binaries: | r-release: hettx_0.1.1.tgz, r-oldrel: hettx_0.1.1.tgz |
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