Parametric Iterative Conditional Expectation G-Formula R package gfoRmulaICE version 1.1.1 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. Software 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) Jing Li <jing_li@hsph.harvard.edu> Comprehensive R Archive Network (CRAN) Zhaoxi Cheng [aut], Jing Li [aut, cre], 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] MIT + file LICENSE (https://CRAN.R-project.org/package=gfoRmulaICE/LICENSE) 2025-12-14 application/tgz https://CRAN.R-project.org/package=gfoRmulaICE doi:10.32614/CRAN.package.gfoRmulaICE