Implements the non-iterative conditional expectation (NICE)
algorithm of the g-formula algorithm (Robins (1986)
<doi:10.1016/0270-0255(86)90088-6>, Hernán and Robins (2024, ISBN:9781420076165)).
The g-formula can estimate an outcome's counterfactual mean or risk under
hypothetical treatment strategies (interventions) when there is sufficient
information on time-varying treatments and confounders.
This package can be used for discrete or continuous time-varying treatments
and for failure time outcomes or continuous/binary end of follow-up
outcomes. The package can handle a random measurement/visit process and a
priori knowledge of the data structure, as well as censoring (e.g., by loss
to follow-up) and two options for handling competing events for failure time
outcomes. Interventions can be flexibly specified, both as interventions on
a single treatment or as joint interventions on multiple treatments.
See McGrath et al. (2020) <doi:10.1016/j.patter.2020.100008> for a guide on
how to use the package.
| Version: |
1.1.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
data.table, ggplot2, ggpubr, grDevices, nnet, parallel, progress, stats, stringr, survival, truncnorm, truncreg, utils |
| Suggests: |
Hmisc, knitr, randomForest, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2025-03-24 |
| DOI: |
10.32614/CRAN.package.gfoRmula |
| Author: |
Victoria Lin [aut] (V. Lin and S. McGrath made equal contributions),
Sean McGrath 
[aut, cre] (V. Lin and S. McGrath made equal contributions),
Zilu Zhang [aut],
Roger W. Logan [aut],
Lucia C. Petito [aut],
Jing Li [aut],
McGee Emma [aut],
Cheng Carrie [aut],
Jessica G. Young
[aut] (M.A. Hernán and J.G. Young made equal contributions),
Miguel A. Hernán [aut] (M.A. Hernán and J.G. Young made equal
contributions),
2019 The President and Fellows of Harvard College [cph] |
| Maintainer: |
Sean McGrath <sean.mcgrath514 at gmail.com> |
| BugReports: |
https://github.com/CausalInference/gfoRmula/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/CausalInference/gfoRmula,
https://doi.org/10.1016/j.patter.2020.100008 |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| In views: |
CausalInference |
| CRAN checks: |
gfoRmula results |