mcefalu/madr: Model Averaged Double Robust Estimation
Version 0.1.0

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.

Getting started

Package details

AuthorMatthew Cefalu
MaintainerMatthew Cefalu <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mcefalu/madr documentation built on May 22, 2017, 1:11 a.m.