causalMed: Parametric G-Formula for Longitudinal Mediation and Total Effects

Causal mediation analysis for longitudinal data with time-varying exposures, mediators and confounders, covering both interventional (Lin et al. (2017) <doi:10.1002/sim.7426>) and natural (Zheng and van der Laan (2017) <doi:10.1515/jci-2016-0006>) direct and indirect effects. Estimation uses the parametric g-formula (Robins (1986) <doi:10.1016/0270-0255(86)90088-6>), which is also exposed directly so that counterfactual means or risks can be estimated under static, dynamic or time-varying hypothetical interventions.

Version:	0.1.3
Depends:	R (≥ 3.5.1)
Imports:	data.table, nnet, future, future.apply, progressr
Suggests:	gfoRmula, Hmisc, knitr, rmarkdown, survival, testthat
Published:	2026-11-06
DOI:	10.32614/CRAN.package.causalMed (may not be active yet)
Author:	Alimu Dayimu [aut, cre], Xingling Guo [aut]
Maintainer:	Alimu Dayimu <ad938 at cam.ac.uk>
BugReports:	https://github.com/adayim/causalMed/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/adayim/causalMed, https://adayim.github.io/causalMed/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	causalMed results

Documentation:

Reference manual:	causalMed.html , causalMed.pdf
Vignettes:	Getting Started with causalMed (source, R code) Causal Mediation Analysis with causalMed (source, R code) Estimating Total Effects with the Parametric G-formula (source) causalMed and gfoRmula: A Comparative Overview (source, R code)

Downloads:

Package source:	causalMed_0.1.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): causalMed_0.1.3.tgz, r-oldrel (x86_64): causalMed_0.1.3.tgz

Linking:

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