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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 |
| Reference manual: | madr.pdf |
| Package source: | madr_1.0.0.tar.gz |
| Windows binaries: | r-devel: madr_1.0.0.zip, r-release: madr_1.0.0.zip, r-oldrel: madr_1.0.0.zip |
| macOS binaries: | r-release (arm64): madr_1.0.0.tgz, r-oldrel (arm64): madr_1.0.0.tgz, r-release (x86_64): madr_1.0.0.tgz, r-oldrel (x86_64): madr_1.0.0.tgz |
| Old sources: | madr archive |
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