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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: stringr, tidyverse, MASS, mice, dplyr, EValue, tibble, foreach, doParallel
Suggests: testthat, knitr, rmarkdown
Published: 2020-03-01
Author: Gary Chan [aut, cre, cph]
Maintainer: Gary Chan <c.chan4 at uq.edu.au>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: intmed results

Downloads:

Reference manual: intmed.pdf
Vignettes: intmed-vignette
Package source: intmed_0.1.1.tar.gz
Windows binaries: r-devel: intmed_0.1.1.zip, r-devel-gcc8: intmed_0.1.1.zip, r-release: intmed_0.1.1.zip, r-oldrel: intmed_0.1.1.zip
OS X binaries: r-release: intmed_0.1.1.tgz, r-oldrel: intmed_0.1.1.tgz

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