Package: gcomputation
Type: Package
Title: Causal Inference by using G-Computation
Version: 0.34
Depends: R (>= 4.0.0), survival, hdnom, glmnet, MASS, mice
Imports: graphics, utils, methods, grDevices, stats
Description: Several functions and S3 methods for G-computation and
        emulation of clinical trials. It allows for flexible estimation
        of the outcome model, especially penalized regressions (Lasso,
        Ridge, or Elasticnet) for binary, continuous, counting, or
        right-censored time-to-event outcomes. Average treatment effect
        among the entire population (ATE) or among the treated
        population (ATT) can be estimated. The method for
        time-to-events is described by Chatton et al. (2020)
        <doi:10.1038/s41598-020-65917-x>.  For a binary outcome,
        details are available in the paper proposed by Chatton et al.
        (2022) <doi:10.1177/09622802211047345>.
License: GPL (>=2)
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>
BugReports: https://github.com/chupverse/gcomputation/issues
Authors@R: c(person("Yohann", "Foucher", role = c("aut", "cre"), email = "yohann.foucher@univ-poitiers.fr", comment = c(ORCID = "0000-0003-0330-7457")), person("Joe", "De Keizer", role = "aut", email = "joe.de.keizer@univ-poitiers.fr", comment = c(ORCID = "0000-0003-0821-4540")) )
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://chupverse.r-universe.dev
Date/Publication: 2026-06-24 09:54:09 UTC
RemoteUrl: https://github.com/chupverse/gcomputation
RemoteRef: HEAD
RemoteSha: 819633e543ef2cb818143779addb3c265f4cda25
Packaged: 2026-06-24 10:39:52 UTC; root
Author: Yohann Foucher [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-0330-7457>),
  Joe De Keizer [aut] (ORCID: <https://orcid.org/0000-0003-0821-4540>)