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Fits generalized competing event (GCE) models and estimates covariate effects on omega-plus, the ratio of the hazard for an event of interest to the hazard for a competing event, on both the cause-specific (Cox) and subdistribution (Fine-Gray) hazard scales. Confidence intervals and p-values are obtained from the Lunn-McNeil (1995) stacked (augmented) data approach. The package builds GCE risk scores from the model linear predictor, identifies risk-score cutpoints that maximize the separation in omega-plus between groups, and produces cumulative incidence ("alligator") plots by risk group and calibration plots of predicted versus observed omega-plus. It also compares covariate effects across the primary, competing, and total (composite) events, and estimates covariate effects on the ratio of cumulative incidence functions (a cumulative-incidence-scale GCE model). Methods follow Carmona et al. (2014) <doi:10.1016/j.ijrobp.2014.03.047>, Mell et al. (2024) <doi:10.1016/j.eururo.2023.01.020>, and Lunn and McNeil (1995) <doi:10.2307/2532940>.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | survival, cmprsk, ggplot2 (≥ 3.5.2), patchwork, stats |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-09-24 |
| DOI: | 10.32614/CRAN.package.gcemod (may not be active yet) |
| Author: | Loren Mell [aut, cre] |
| Maintainer: | Loren Mell <lmell at ucsd.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | gcemod citation info |
| Materials: | README, NEWS |
| CRAN checks: | gcemod results |
| Reference manual: | gcemod.html , gcemod.pdf |
| Vignettes: |
Generalized Competing Event Modeling with gcemod (source, R code) |
| Package source: | gcemod_0.3.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): gcemod_0.3.0.tgz, r-oldrel (arm64): gcemod_0.3.0.tgz, r-release (x86_64): gcemod_0.3.0.tgz, r-oldrel (x86_64): gcemod_0.3.0.tgz |
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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.
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