CRAN/E | hettx

hettx

Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

Installation

About

Implements methods developed by Ding, Feller, and Miratrix (2016) doi:10.1111/rssb.12124 , and Ding, Feller, and Miratrix (2018) doi:10.1080/01621459.2017.1407322 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.

Bug report File report

Key Metrics

Version 0.1.3
R ≥ 2.14.0
Published 2023-08-19 244 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks hettx results

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Maintainer

Maintainer

Ben Fifield

benfifield@gmail.com

Authors

Peng Ding

aut

Avi Feller

aut

Ben Fifield

aut / cre

Luke Miratrix

aut

Material

Reference manual
Package source

In Views

CausalInference

Vignettes

detect_idiosyncratic() Tutorial
estimate_systematic() Tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

hettx archive

Depends

R ≥ 2.14.0

Imports

quantreg
plyr
mvtnorm
MASS
foreach
parallel
doParallel
moments
formula.tools
purrr
dplyr
ggplot2
tidyr

Suggests

testthat
knitr
rmarkdown