Package: riskCommunicator
Title: G-Computation to Estimate Interpretable Epidemiological Effects
Version: 1.0.1
Authors@R: c(
    person(given = "Jessica",
           family = "Grembi",
           role = c("aut", "cre", "cph"),
           email = "jess.grembi@gmail.com",
           comment = c(ORCID = "0000-0001-6142-4913")),
           person("Elizabeth", "Rogawski McQuade", role = "ctb", comment = c(ORCID = "0000-0002-4942-3747")))
Depends: R (>= 3.5)
Imports: boot, dplyr, ggplot2, ggpubr, magrittr, MASS, methods, purrr,
        rlang, stats, tidyr, tidyselect
Description: Estimates flexible epidemiological effect measures
        including both differences and ratios using the parametric
        G-formula developed as an alternative to inverse probability
        weighting.  It is useful for estimating the impact of
        interventions in the presence of treatment-confounder-feedback.
        G-computation was originally described by Robbins (1986)
        <doi:10.1016/0270-0255(86)90088-6> and has been described in
        detail by Ahern, Hubbard, and Galea (2009)
        <doi:10.1093/aje/kwp015>; Snowden, Rose, and Mortimer (2011)
        <doi:10.1093/aje/kwq472>; and Westreich et al. (2012)
        <doi:10.1002/sim.5316>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
Suggests: knitr, rmarkdown, testthat, tidyverse, printr, stringr,
        formatR, sandwich
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://jgrembi.r-universe.dev
Date/Publication: 2023-01-30 05:44:13 UTC
RemoteUrl: https://github.com/jgrembi/riskcommunicator
RemoteRef: HEAD
RemoteSha: 548afe7bb28c4b4eb1862c0e51e9f650c9e08503
NeedsCompilation: no
Packaged: 2026-10-05 08:49:12 UTC; root
Author: Jessica Grembi [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-6142-4913>),
  Elizabeth Rogawski McQuade [ctb] (ORCID:
    <https://orcid.org/0000-0002-4942-3747>)
Maintainer: Jessica Grembi <jess.grembi@gmail.com>