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: 1.0.0
Depends: R (≥ 3.1)
Imports: numDeriv (≥ 2012.9-1), lme4 (≥ 1.1-6), Formula (≥ 1.1-2), methods
Suggests: testthat, knitr
Published: 2017-11-24
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
CRAN checks: inferference results

Downloads:

Reference manual: inferference.pdf
Vignettes: inferference_vignette
inferference_plots
Package source: inferference_1.0.0.tar.gz
Windows binaries: r-devel: inferference_1.0.0.zip, r-release: inferference_1.0.0.zip, r-oldrel: inferference_1.0.0.zip
OS X El Capitan binaries: r-release: inferference_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: inferference_1.0.0.tgz
Old sources: inferference archive

Reverse dependencies:

Reverse suggests: geex

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