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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 madr_1.0.0.tar.gz 61.3 KiB
1.0.0 rolling linux/noble R-4.5 madr_1.0.0.tar.gz 61.3 KiB
1.0.0 rolling source/ R- madr_1.0.0.tar.gz 9.8 KiB
1.0.0 latest linux/jammy R-4.5 madr_1.0.0.tar.gz 61.3 KiB
1.0.0 latest linux/noble R-4.5 madr_1.0.0.tar.gz 61.3 KiB
1.0.0 latest source/ R- madr_1.0.0.tar.gz 9.8 KiB
1.0.0 2026-04-26 source/ R- madr_1.0.0.tar.gz 9.8 KiB
1.0.0 2026-04-23 source/ R- madr_1.0.0.tar.gz 9.8 KiB
1.0.0 2026-04-09 windows/windows R-4.5 madr_1.0.0.zip 64.0 KiB
1.0.0 2025-04-20 source/ R- madr_1.0.0.tar.gz 9.8 KiB