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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 gmail.com>
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

Documentation:

Reference manual: inferference.pdf
Vignettes: inferference_vignette
inferference_plots

Downloads:

Package source: inferference_1.0.2.tar.gz
Windows binaries: r-devel: inferference_1.0.2.zip, r-release: inferference_1.0.2.zip, r-oldrel: inferference_1.0.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=inferference to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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