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gfoRmula  

Parametric G-Formula
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gfoRmula", "1.1.0")



Attach the package and use:
library("gfoRmula")
Maintained by
Sean McGrath
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-25
Latest Update: 2023-05-18
Description:
Implements the parametric g-formula algorithm of Robins (1986) . The g-formula can be used to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of an outcome from longitudinal data with time-varying confounding. This package allows: 1) binary or continuous/multi-level time-varying treatments; 2) different types of outcomes (survival or continuous/binary end of follow-up); 3) data with competing events or truncation by death and loss to follow-up and other types of censoring events; 4) different options for handling competing events in the case of survival outcomes; 5) a random measurement/visit process; 6) joint interventions on multiple treatments; and 7) general incorporation of a priori knowledge of the data structure.
How to cite:
Sean McGrath (2019). gfoRmula: Parametric G-Formula. R package version 1.1.0, https://cran.r-project.org/web/packages/gfoRmula. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.2.1 (2019-08-25 09:30), 0.3.0 (2020-01-30 07:10), 0.3.1 (2020-03-23 18:20), 0.3.2 (2021-07-13 08:30), 1.0.0 (2022-04-09 22:02), 1.0.1 (2023-01-12 00:40), 1.0.2 (2023-02-27 22:42), 1.0.3 (2023-05-18 19:20), 1.0.4 (2024-01-30 20:50)
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