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intmed

Mediation Analysis using Interventional Effects

Implementing the interventional effects for mediation analysis for up to 3 mediators. The methods used are based on VanderWeele, Vansteelandt and Robins (2014) <doi:10.1097/ede.0000000000000034>, Vansteelandt and Daniel (2017) <doi:10.1097/ede.0000000000000596> and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package). Linear regression, logistic regression and Poisson regression are used for continuous, binary and count mediator/outcome variables respectively.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 intmed_0.1.2.tar.gz 136.4 KiB
0.1.2 rolling linux/noble R-4.5 intmed_0.1.2.tar.gz 136.4 KiB
0.1.2 rolling source/ R- intmed_0.1.2.tar.gz 66.9 KiB
0.1.2 latest linux/jammy R-4.5 intmed_0.1.2.tar.gz 136.4 KiB
0.1.2 latest linux/noble R-4.5 intmed_0.1.2.tar.gz 136.4 KiB
0.1.2 latest source/ R- intmed_0.1.2.tar.gz 66.9 KiB
0.1.2 2026-04-26 source/ R- intmed_0.1.2.tar.gz 66.9 KiB
0.1.2 2026-04-23 source/ R- intmed_0.1.2.tar.gz 66.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 intmed_0.1.2.zip 140.9 KiB
0.1.2 2025-04-20 source/ R- intmed_0.1.2.tar.gz 66.9 KiB

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