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multimediate: Causal Mediation Analysis in Presence of Multiple MediatorsUncausally Related

Estimates key quantities in causal mediation analysis - including average causal mediation effects (indirect effects), average direct effects, total effects, and proportions mediated - in the presence of multiple uncausally related mediators. Methods are described by Jérolon et al., (2021) <doi:10.1515/ijb-2019-0088> and extended to accommodate survival outcomes as described by Domingo-Relloso et al., (2024) <doi:10.1101/2024.02.16.24302923>.

Version:0.1.4
Imports:rmutil,MASS,mvtnorm, stats, graphics,timereg
Suggests:knitr,rmarkdown
Published:2025-07-14
DOI:10.32614/CRAN.package.multimediate
Author:Allan Jerolon [aut], Arce Domingo-Relloso [aut], Samara Kiihl [cre, aut], Maria Tellez-Plaza [aut]
Maintainer:Samara Kiihl <samarak at unicamp.br>
License:GPL-3
URL:https://samarafk.github.io/multimediate/
NeedsCompilation:no
Materials:README
CRAN checks:multimediate results

Documentation:

Reference manual:multimediate.html ,multimediate.pdf

Downloads:

Package source: multimediate_0.1.4.tar.gz
Windows binaries: r-devel:multimediate_0.1.4.zip, r-release:multimediate_0.1.4.zip, r-oldrel:multimediate_0.1.4.zip
macOS binaries: r-release (arm64):multimediate_0.1.4.tgz, r-oldrel (arm64):multimediate_0.1.4.tgz, r-release (x86_64):multimediate_0.1.4.tgz, r-oldrel (x86_64):multimediate_0.1.4.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=multimediateto link to this page.


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