BarkleyBG/clusteredinterference
Causal Effects from Observational Studies with Clustered Interference

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clusteredinterference: Draw Causal Inference from Observational Studies with... makeTargetGrid: Creates the grid of all estimands to estimate. policyFX: Estimate Causal Effects of Population Treatment Policies... print.policyFX: Prints a summary of the estimates from a policyFX object summary.policyFX: Prints a summary of a policyFX object toy_data: A "toy" dataset for illustrating the estimator
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toy_data summary.policyFX print.policyFX policyFX makeTargetGrid clusteredinterference-package clusteredinterference
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tests/testthat/test_variance_target.R tests/testthat/test_variance_nuisance.R tests/testthat/test_tidy_output.R tests/testthat/test_sampleVecs4Trt.R tests/testthat/test_integration.R tests/testthat/test_CFBI_starting.R tests/testthat/test_CFBI_MCFP.R
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BarkleyBG/clusteredinterference: Causal Effects from Observational Studies with Clustered Interference

BarkleyBG/clusteredinterference: Causal Effects from Observational Studies with Clustered Interference
Version 1.0.0.9000

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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README.md

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Package details
AuthorBrian G. Barkley [aut, cre] (0000-0003-1787-4735), Bradley Saul [ctb]
MaintainerBrian G. Barkley <[email protected]>
LicenseGPL-3
Version1.0.0.9000
URL http://github.com/BarkleyBG/clusteredinterference 
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R: 
install.packages("devtools")
library(devtools)
install_github("BarkleyBG/clusteredinterference")
BarkleyBG/clusteredinterference documentation built on Feb. 15, 2018, 10:13 p.m.

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