Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

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.


Reference manual

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0.1.1 by Ben Fifield, 3 years ago

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Authors: Peng Ding [aut] , Avi Feller [aut] , Ben Fifield [aut, cre] , Luke Miratrix [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports quantreg, plyr, mvtnorm, MASS, foreach, parallel, doParallel, moments,, purrr, dplyr, tidyverse

Suggests testthat, knitr, rmarkdown

See at CRAN