Package: causalMed
Title: Parametric G-Formula for Longitudinal Mediation and Total
        Effects
Version: 0.1.3
Authors@R: c(person("Alimu", "Dayimu", 
                    email = "ad938@cam.ac.uk", 
                    role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0001-9998-7463")),
             person("Xingling", "Guo", 
                    role = c("aut")))
Description: 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.
Depends: R (>= 3.5.1)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: data.table, nnet, future, future.apply, progressr
Suggests: gfoRmula, Hmisc, knitr, rmarkdown, survival, testthat
URL: https://github.com/adayim/causalMed,
        https://adayim.github.io/causalMed/
BugReports: https://github.com/adayim/causalMed/issues
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-11-06 21:14:35 UTC; root
Author: Alimu Dayimu [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-9998-7463>), Xingling Guo [aut]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-06 18:07:56 UTC
RemoteUrl: https://github.com/cran/causalMed
RemoteRef: HEAD
RemoteSha: 910cb66d3b42ff30c8fd4fdcb0f93fc1355fd24e