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>.

Package details

AuthorBrian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>), Bradley Saul [ctb]
MaintainerBrian G. Barkley <[email protected]>
LicenseGPL-3
Version1.0.0
URL http://github.com/BarkleyBG/clusteredinterference
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clusteredinterference")

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clusteredinterference documentation built on Feb. 13, 2018, 5:03 p.m.