inferference: Methods for Causal Inference with Interference

Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.

Version: 1.0.2
Depends: R (≥ 3.1)
Imports: numDeriv (≥ 2012.9-1), lme4 (≥ 1.1-6), Formula (≥ 1.1-2), methods
Suggests: testthat, knitr, markdown
Published: 2021-04-21
DOI: 10.32614/CRAN.package.inferference
Author: Bradley Saul
Maintainer: Bradley Saul <bradleysaul at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: inferference citation info
Materials: README NEWS
In views: CausalInference
CRAN checks: inferference results


Reference manual: inferference.pdf
Vignettes: inferference_vignette


Package source: inferference_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): inferference_1.0.2.tgz, r-oldrel (arm64): inferference_1.0.2.tgz, r-release (x86_64): inferference_1.0.2.tgz, r-oldrel (x86_64): inferference_1.0.2.tgz
Old sources: inferference archive

Reverse dependencies:

Reverse suggests: geex


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