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cff-version: 1.2.0
message: 'To cite package "gfoRmulaICE" in publications use:'
type: software
license: MIT
title: 'gfoRmulaICE: Parametric Iterative Conditional Expectation G-Formula'
version: 0.1.0
doi: 10.32614/CRAN.package.gfoRmulaICE
abstract: Implements iterative conditional expectation (ICE) estimators of the plug-in
  g-formula (Wen, Young, Robins, and Hernán (2020) <https://doi.org/ 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.
authors:
- family-names: Cheng
  given-names: Zhaoxi
  email: zcheng@hsph.harvard.edu
- family-names: Li
  given-names: Jing
  email: jing_li@hsph.harvard.edu
- family-names: Rein
  given-names: Sophia
  email: srein@hsph.harvard.edu
- family-names: O'Dea
  given-names: Ryan
  email: ryanodea@hsph.harvard.edu
- family-names: McGrath
  given-names: Sean
  email: sean_mcgrath@g.harvard.edu
- family-names: Wen
  given-names: Lan
  email: lan.wen@uwaterloo.ca
- family-names: Hernán
  given-names: Miguel A.
  email: mhernan@hsph.harvard.edu
repository: https://CRAN.R-project.org/package=gfoRmulaICE
date-released: '2024-12-02'
contact:
- family-names: Cheng
  given-names: Zhaoxi
  email: zcheng@hsph.harvard.edu