CRAN/E | clusteredinterference

clusteredinterference

Causal Effects from Observational Studies with Clustered Interference

Installation

About

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) .

github.com/BarkleyBG/clusteredinterference
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 3.2
Published 2019-03-18 1865 days ago
Needs compilation? no
License GPL-3
CRAN checks clusteredinterference results

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Maintainer

Maintainer

Brian G. Barkley

BarkleyBG@outlook.com

Authors

Brian G. Barkley

aut / cre

Bradley Saul

ctb

Material

NEWS
Reference manual
Package source

In Views

CausalInference

Vignettes

estimate-policyFX

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clusteredinterference archive

Depends

R ≥ 3.2

Imports

Formula ≥ 1.1-2
cubature ≥ 1.1-2
lme4 ≥ 1.1-10
numDeriv ≥ 2014.2-1
rootSolve ≥ 1.6.6

Suggests

testthat
rprojroot
knitr
rmarkdown
covr