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.

Install the latest version of this package by entering the following in R:
install.packages("madr")
AuthorMatthew Cefalu
Date of publication2016-09-05 20:23:43
MaintainerMatthew Cefalu <Matthew_Cefalu@rand.org>
LicenseGPL-3
Version1.0.0

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