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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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: 2020-08-27 13:05:22 UTC; gckc1
Author: Gary Chan [aut, cre, cph]
Maintainer: Gary Chan <c.chan4@uq.edu.au>
Repository: CRAN
Date/Publication: 2020-08-27 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:02:28 UTC; unix
