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.

Getting started

Package details

AuthorMatthew Cefalu
MaintainerMatthew Cefalu <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the madr package in your browser

Any scripts or data that you put into this service are public.

madr documentation built on May 2, 2019, 6:03 a.m.