Package: tmle3mediate
Title: Targeted Learning for Causal Mediation Analysis
Version: 0.0.3
Authors@R: c(
    person("Nima", "Hejazi", email = "nh@nimahejazi.org",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7127-2789")),
    person("James", "Duncan", email = "jpduncan@berkeley.edu",
           role = "aut"),
    person("David", "McCoy", email = "david_mccoy@berkeley.edu",
           role = "aut"),
    person("Mark", "van der Laan", email = "laan@berkeley.edu",
           role = c("ctb", "ths"),
           comment = c(ORCID = "0000-0003-1432-5511"))
  )
Maintainer: Nima Hejazi <nh@nimahejazi.org>
Description: Targeted maximum likelihood (TML) estimation of
        population-level causal effects in mediation analysis. The
        causal effects are defined by joint static or stochastic
        interventions applied to the exposure and the mediator.
        Targeted doubly robust estimators are provided for the
        classical natural direct and indirect effects, as well as the
        more recently developed population intervention direct and
        indirect effects.
Depends: R (>= 3.4.0)
Imports: R6, uuid, methods, data.table, assertthat, sl3 (>= 1.4.2),
        tmle3 (>= 0.2.0)
Suggests: testthat, knitr, rmarkdown, covr, here, stats, stringr,
        ggplot2, dplyr, Rsolnp, nnls, speedglm, hal9001, medshift, mma
Remotes: github::tlverse/sl3, github::tlverse/tmle3,
        github::nhejazi/medshift
License: GPL-3
URL: https://tlverse.org/tmle3mediate
BugReports: https://github.com/tlverse/tmle3mediate/issues
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.1.9001
Roxygen: list(markdown = TRUE, r6 = FALSE)
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev
Repository: https://tlverse.r-universe.dev
Date/Publication: 2021-08-29 18:07:20 UTC
RemoteUrl: https://github.com/tlverse/tmle3mediate
RemoteRef: HEAD
RemoteSha: 70d1151c4adb54d044f355d06d07bcaeb7f8ae07
NeedsCompilation: no
Packaged: 2026-07-04 00:58:27 UTC; root
Author: Nima Hejazi [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-7127-2789>),
  James Duncan [aut],
  David McCoy [aut],
  Mark van der Laan [ctb, ths] (ORCID:
    <https://orcid.org/0000-0003-1432-5511>)