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gfoRmulaICE  

Parametric Iterative Conditional Expectation G-Formula
View on CRAN: Click here


Download and install gfoRmulaICE package within the R console
Install from CRAN:
install.packages("gfoRmulaICE")

Install from Github:
library("remotes")
install_github("cran/gfoRmulaICE")

Install by package version:
library("remotes")
install_version("gfoRmulaICE", "0.1.0")



Attach the package and use:
library("gfoRmulaICE")
Maintained by
Zhaoxi Cheng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-02
Latest Update: 2024-12-02
Description:
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.
How to cite:
Zhaoxi Cheng (2024). gfoRmulaICE: Parametric Iterative Conditional Expectation G-Formula. R package version 0.1.0, https://cran.r-project.org/web/packages/gfoRmulaICE. Accessed 11 Dec. 2024.
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