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clusteredinterference  

Causal Effects from Observational Studies with Clustered Interference
View on CRAN: Click here


Download and install clusteredinterference package within the R console
Install from CRAN:
install.packages("clusteredinterference")

Install from Github:
library("remotes")
install_github("cran/clusteredinterference")

Install by package version:
library("remotes")
install_version("clusteredinterference", "1.0.1")



Attach the package and use:
library("clusteredinterference")
Maintained by
Brian G. Barkley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-13
Latest Update:
Description:
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) .
How to cite:
Brian G. Barkley (2018). clusteredinterference: Causal Effects from Observational Studies with Clustered Interference. R package version 1.0.1, https://cran.r-project.org/web/packages/clusteredinterference. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2018-02-13 10:24), 1.0.1 (2019-03-18 01:03)
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