BarkleyBG/clusteredinterference
Causal Effects from Observational Studies with Clustered Interference

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

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

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) <arXiv:1711.04834>.

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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 Oct. 30, 2018, 8:10 a.m.

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