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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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.">

intmed: Mediation Analysis using Interventional Effects (original) (raw)

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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: stringr, MASS, mice, dplyr, tibble, foreach, doParallel
Suggests: testthat, knitr, rmarkdown
Published: 2020-08-27
DOI: 10.32614/CRAN.package.intmed
Author: Gary Chan [aut, cre, cph]
Maintainer: Gary Chan <c.chan4 at uq.edu.au>
License: MIT + file
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: intmed results

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