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:Matthew Cefalu

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madr/json (API)

# Install 'madr' in R:
install.packages('madr', repos = c('https://mattcefalu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 116 downloads 11 exports 0 dependencies

Last updated 8 years agofrom:904590d2d0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:add.to.dictionaryadd.to.dictionary.outcomebic.to.probexpitmadrmadr.enumeratemadr.mcmcOM.MAOM.MA.enumeratePS.MAPS.MA.enumerate

Dependencies: