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adace

Estimator of the Adherer Average Causal Effect

Estimate the causal treatment effect for subjects that can adhere to one or both of the treatments. Given longitudinal data with missing observations, consistent causal effects are calculated. Unobserved potential outcomes are estimated through direct integration as described in: Qu et al., (2019) <doi:10.1080/19466315.2019.1700157> and Zhang et. al., (2021) <doi:10.1080/19466315.2021.1891965>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 adace_1.0.2.tar.gz 113.2 KiB
1.0.2 rolling linux/noble R-4.5 adace_1.0.2.tar.gz 113.1 KiB
1.0.2 rolling source/ R- adace_1.0.2.tar.gz 16.2 KiB
1.0.2 latest linux/jammy R-4.5 adace_1.0.2.tar.gz 113.2 KiB
1.0.2 latest linux/noble R-4.5 adace_1.0.2.tar.gz 113.1 KiB
1.0.2 latest source/ R- adace_1.0.2.tar.gz 16.2 KiB
1.0.2 2026-04-26 source/ R- adace_1.0.2.tar.gz 16.2 KiB
1.0.2 2026-04-23 source/ R- adace_1.0.2.tar.gz 16.2 KiB
1.0.2 2026-04-09 windows/windows R-4.5 adace_1.0.2.zip 115.4 KiB
1.0.2 2025-04-20 source/ R- adace_1.0.2.tar.gz 16.2 KiB

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