madr: Model Averaged Double Robust Estimation

Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.

Version: 1.0.0
Published: 2016-09-05
Author: Matthew Cefalu
Maintainer: Matthew Cefalu <Matthew_Cefalu at rand.org>
License: GPL-3
NeedsCompilation: no
CRAN checks: madr results

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Reference manual: madr.pdf
Package source: madr_1.0.0.tar.gz
Windows binaries: r-devel: madr_1.0.0.zip, r-release: madr_1.0.0.zip, r-oldrel: madr_1.0.0.zip
OS X El Capitan binaries: r-release: madr_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: madr_1.0.0.tgz
Old sources: madr archive

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