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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Parametric G-Formula</dc:title>
  <dc:title>R package gfoRmula version 1.1.1</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>Implements the non-iterative conditional expectation (NICE) 
    algorithm of the g-formula algorithm (Robins (1986) 
    &lt;doi:10.1016/0270-0255(86)90088-6&gt;, 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) &lt;doi:10.1016/j.patter.2020.100008&gt; for a guide on 
    how to use the package.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: data.table, ggplot2, ggpubr, grDevices, nnet, parallel,
progress, stats, stringr, survival, truncnorm, truncreg, utils</dc:relation>
  <dc:relation>Suggests: Hmisc, knitr, randomForest, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Sean McGrath &lt;sean.mcgrath514@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Victoria Lin [aut] (V. Lin and S. McGrath made equal contributions),
  Sean McGrath [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-7281-3516&gt;, V. Lin and S. McGrath made
    equal contributions),
  Zilu Zhang [aut],
  Roger W. Logan [aut],
  Lucia C. Petito [aut],
  Jing Li [aut],
  McGee Emma [aut] (ORCID: &lt;https://orcid.org/0000-0002-7456-6408&gt;),
  Cheng Carrie [aut],
  Jessica G. Young [aut] (ORCID: &lt;https://orcid.org/0000-0002-2758-6932&gt;,
    M.A. Hernán and J.G. Young made equal contributions),
  Miguel A. Hernán [aut] (M.A. Hernán and J.G. Young made equal
    contributions),
  2019 The President and Fellows of Harvard College [cph]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-03-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gfoRmula</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gfoRmula</dc:identifier>
</oai_dc:dc>