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gfoRmulaICE: Parametric Iterative Conditional Expectation G-Formula

Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi:10.1111/biom.13321>). Both singly robust and doubly robust ICE estimators based on parametric models are available. The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events. The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: data.table, ggplot2, nnet, doParallel, parallel, foreach, stringr, magrittr, dplyr, rlang, reshape2, speedglm, methods, Hmisc, splines
Suggests: testthat (≥ 3.0.0)
Published: 2024-12-02
DOI: 10.32614/CRAN.package.gfoRmulaICE
Author: Zhaoxi Cheng [aut, cre], Jing Li [aut], Sophia Rein [aut], Ryan O'Dea [aut], Sean McGrath [aut], Lan Wen [aut], Miguel A. Hernán [aut], 2024 The President and Fellows of Harvard College [cph]
Maintainer: Zhaoxi Cheng <zcheng at hsph.harvard.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gfoRmulaICE results

Documentation:

Reference manual: gfoRmulaICE.pdf

Downloads:

Package source: gfoRmulaICE_0.1.0.tar.gz
Windows binaries: r-devel: gfoRmulaICE_0.1.0.zip, r-release: gfoRmulaICE_0.1.0.zip, r-oldrel: gfoRmulaICE_0.1.0.zip
macOS binaries: r-release (arm64): gfoRmulaICE_0.1.0.tgz, r-oldrel (arm64): gfoRmulaICE_0.1.0.tgz, r-release (x86_64): gfoRmulaICE_0.1.0.tgz, r-oldrel (x86_64): gfoRmulaICE_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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