Provides methods for estimating causal effects in the presence of interference. Currently it implements the IPW estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele in "On causal inference in the presence of interference" (Statistical Methods in Medical Research, 21(1) 55-75).

Documentation

Manual: inferference.pdf
Vignettes:

Maintainer: Bradley Saul <saulb at live.unc.edu>

Author(s): Bradley Saul

Install package and any missing dependencies by running this line in your R console:

install.packages("inferference")

Depends R (>= 3.1)
Imports numDeriv(>=2012.9-1), lme4(>=1.1-6), Formula(>=1.1-2)
Suggests testthat, knitr
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Package inferference
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Version 0.4.62
Published 2015-06-08
License GPL (>= 2)
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NeedsCompilation no
Citation
CRAN checks inferference check results
Package source inferference_0.4.62.tar.gz