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.
| Version: |
1.0.0 |
| Published: |
2016-09-05 |
| Author: |
Matthew Cefalu |
| Maintainer: |
Matthew Cefalu <Matthew_Cefalu at rand.org> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
madr results |
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