clusteredinterference: Causal Effects from Observational Studies with Clustered Interference
Version 1.0.0

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) .

Package details

AuthorBrian G. Barkley [aut, cre] (<>), Bradley Saul [ctb]
Date of publication2018-02-13 09:24:28 UTC
MaintainerBrian G. Barkley <[email protected]>
Package repositoryView on CRAN
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clusteredinterference documentation built on Feb. 13, 2018, 5:03 p.m.