Fisherian and Neymanian Methods for Detecting and Measuring
Treatment Effect Variation
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.