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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stringr, MASS, mice, dplyr, tibble, foreach, doParallel |
| Suggests: |
testthat, knitr, rmarkdown |
| Published: |
2020-08-27 |
| Author: |
Gary Chan [aut, cre, cph] |
| Maintainer: |
Gary Chan <c.chan4 at uq.edu.au> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
intmed results |
Documentation:
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