clusteredinterference (1.0.0)

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Causal Effects from Observational Studies with Clustered Interference.

http://github.com/BarkleyBG/clusteredinterference
http://cran.r-project.org/web/packages/clusteredinterference

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) .

Maintainer: Brian G. Barkley
Author(s): Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>), Bradley Saul [ctb]

License: GPL-3

Uses: cubature, Formula, lme4, numDeriv, rootSolve, testthat, knitr, rmarkdown, covr, rprojroot

Released 3 months ago.


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