Estimates average treatment effects using model average double robust (MADR) estimation. The MADR 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 MADR 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.
Package details 


Author  Matthew Cefalu 
Maintainer  Matthew Cefalu <[email protected]> 
License  GPL3 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
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