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clusteredinterference (version 1.0.1)

Causal Effects from Observational Studies with Clustered Interference

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) .

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install.packages('clusteredinterference')

Monthly Downloads

41

Version

1.0.1

License

GPL-3

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0

Stars

7

Forks

2

Maintainer

Brian G. Barkley

Last Published

March 18th, 2019

Functions in clusteredinterference (1.0.1)

makeTargetGrid

Creates the grid of all estimands to estimate.
clusteredinterference

Draw Causal Inference from Observational Studies with Clustered Interference
print.policyFX

Prints a summary of the estimates from a policyFX object
summary.policyFX

Prints a summary of a policyFX object
policyFX

Estimate Causal Effects of Population Treatment Policies Assuming Clustered Interference
toy_data

A "toy" dataset for illustrating the estimator