Package: madr
Type: Package
Title: Model Averaged Double Robust Estimation
Version: 1.0.0
Author: Matthew Cefalu
Maintainer: Matthew Cefalu <Matthew_Cefalu@rand.org>
Description: 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.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-03 02:42:56 UTC; mcefalu
Repository: CRAN
Date/Publication: 2016-09-05 20:23:43
Built: R 4.3.3; ; 2025-01-24 09:23:40 UTC; unix
