BarkleyBG/clusteredinterference: Causal Effects from Observational Studies with Clustered Interference
Version 1.0.0.9000

Estimating causal effects from observational studies assuming clustered (or partial) interference. These inverse probability-weighted estimators target new estimands arising from population-level treatment policies. The estimands and estimators are introduced in Barkley et al. (2017) .

Getting started

Package details

AuthorBrian G. Barkley [aut, cre] (0000-0003-1787-4735), Bradley Saul [ctb]
MaintainerBrian G. Barkley <[email protected]>
LicenseGPL-3
Version1.0.0.9000
URL http://github.com/BarkleyBG/clusteredinterference
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("BarkleyBG/clusteredinterference")
BarkleyBG/clusteredinterference documentation built on Aug. 3, 2018, 8:13 a.m.