Package: intmed
Type: Package
Title: Mediation Analysis using Interventional Effects
Version: 0.1.2
Authors@R: person("Gary", "Chan", email = "c.chan4@uq.edu.au",
  role = c("aut", "cre","cph"))
Description: 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        (2020; unpublished manuscript, available on request from the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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringr, MASS, mice, dplyr, tibble, foreach, doParallel
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-23 08:09:41 UTC; root
Author: Gary Chan [aut, cre, cph]
Maintainer: Gary Chan <c.chan4@uq.edu.au>
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://ncysur.r-universe.dev
Date/Publication: 2020-08-27 16:20:02 UTC
RemoteUrl: https://github.com/cran/intmed
RemoteRef: HEAD
RemoteSha: 8972fc2f4518f232968a1c81e46f6937a3b6d422