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Implements the parametric g-formula algorithm of Robins (1986) <doi:10.1016/0270-0255(86)90088-6>. 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.
Version: | 1.0.4 |
Depends: | R (≥ 3.5.0) |
Imports: | data.table, ggplot2, ggpubr, grDevices, nnet, parallel, progress, stats, stringr, survival, truncnorm, truncreg, utils |
Suggests: | Hmisc |
Published: | 2024-01-30 |
DOI: | 10.32614/CRAN.package.gfoRmula |
Author: | Victoria Lin [aut] (V. Lin and S. McGrath made equal contributions),
Sean McGrath |
Maintainer: | Sean McGrath <sean_mcgrath at g.harvard.edu> |
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 |
Reference manual: | gfoRmula.pdf |
Package source: | gfoRmula_1.0.4.tar.gz |
Windows binaries: | r-devel: gfoRmula_1.0.4.zip, r-release: gfoRmula_1.0.4.zip, r-oldrel: gfoRmula_1.0.4.zip |
macOS binaries: | r-release (arm64): gfoRmula_1.0.4.tgz, r-oldrel (arm64): gfoRmula_1.0.4.tgz, r-release (x86_64): gfoRmula_1.0.4.tgz, r-oldrel (x86_64): gfoRmula_1.0.4.tgz |
Old sources: | gfoRmula archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.