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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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 |
| 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-release: intmed_0.1.1.zip, r-oldrel: intmed_0.1.1.zip |
| macOS binaries: | r-release: intmed_0.1.1.tgz, r-oldrel: intmed_0.1.1.tgz |
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