Package: madr 1.0.0
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.
Authors:
madr_1.0.0.tar.gz
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madr.pdf |madr.html✨
madr/json (API)
# Install 'madr' in R: |
install.packages('madr', repos = c('https://mattcefalu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:904590d2d0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:add.to.dictionaryadd.to.dictionary.outcomebic.to.probexpitmadrmadr.enumeratemadr.mcmcOM.MAOM.MA.enumeratePS.MAPS.MA.enumerate
Dependencies: