DESCRIPTION

Package: gfoRmula
Title: Parametric G-Formula
Version: 1.1.1
Authors@R: c(person("Victoria", "Lin", role = c("aut"), 
                     email = "vlin@alumni.harvard.edu", 
                     comment = "V. Lin and S. McGrath made equal 
                     contributions"),
              person("Sean", "McGrath", role = c("aut", "cre"),
                      email = "sean_mcgrath@g.harvard.edu", 
                      comment = c(ORCID = "0000-0002-7281-3516", 
                      "V. Lin and S. McGrath made equal contributions")),
              person("Zilu", "Zhang", role = c("aut"),
                      email = "zilu_zhang@dfci.harvard.edu"),
              person("Roger W.", "Logan", role = c("aut"),
                      email = "rwlogan@hsph.harvard.edu"),
              person("Lucia C.", "Petito", role = c("aut"),
                      email = "petito@hsph.harvard.edu"),
              person("Jing", "Li", role = c("aut"), 
                      email = "jing_li@hsph.harvard.edu"),
              person("McGee", "Emma", role = c("aut"), 
                      email = "emcgee@hsph.harvard.edu", 
                      comment = c(ORCID = "0000-0002-7456-6408")),
              person("Cheng", "Carrie", role = c("aut"), 
                      email = "zcheng@hsph.harvard.edu"),
              person("Jessica G.", "Young", role = c("aut"),
                      email = "jyoung@hsph.harvard.edu",
                      comment = c(ORCID = "0000-0002-2758-6932", 
                      "M.A. Hernán and J.G. Young made equal contributions")),
              person("Miguel A.", "Hernán", role = c("aut"),
                      email = "mhernan@hsph.harvard.edu",
                      comment = "M.A. Hernán and J.G. Young made equal  
                      contributions"),
              person("2019 The President and Fellows of Harvard College", 
                      role = c("cph")))
Description: Implements the non-iterative conditional expectation (NICE) 
    algorithm of the g-formula algorithm (Robins (1986) 
    <doi:10.1016/0270-0255(86)90088-6>, Hernán and Robins (2024, ISBN:9781420076165)). 
    The g-formula can estimate an outcome's counterfactual mean or risk under 
    hypothetical treatment strategies (interventions) when there is sufficient 
    information on time-varying treatments and confounders. 
    This package can be used for discrete or continuous time-varying treatments 
    and for failure time outcomes or continuous/binary end of follow-up 
    outcomes. The package can handle a random measurement/visit process and a 
    priori knowledge of the data structure, as well as censoring (e.g., by loss 
    to follow-up) and two options for handling competing events for failure time
    outcomes. Interventions can be flexibly specified, both as interventions on 
    a single treatment or as joint interventions on multiple treatments.
    See McGrath et al. (2020) <doi:10.1016/j.patter.2020.100008> for a guide on 
    how to use the package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: 
    data.table,
    ggplot2,
    ggpubr,
    grDevices,
    nnet,
    parallel,
    progress,
    stats,
    stringr,
    survival,
    truncnorm,
    truncreg,
    utils
Suggests: 
    Hmisc,
    knitr,
    randomForest,
    rmarkdown,
    testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/CausalInference/gfoRmula, 
    https://doi.org/10.1016/j.patter.2020.100008
BugReports: https://github.com/CausalInference/gfoRmula/issues
Config/testthat/edition: 3