gcemod: Generalized Competing Event Models with Lunn-McNeil Testing
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). Models are specified through a
formula interface and return classed objects with summary, extractor,
prediction, and plot methods. 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: |
0.4.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
survival, cmprsk, ggplot2 (≥ 3.5.2), patchwork, stats |
| Suggests: |
splines, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-11-14 |
| DOI: |
10.32614/CRAN.package.gcemod |
| Author: |
Loren Mell [aut, cre],
Morten Overgaard [ctb] (proposed the stacked pseudo-observation
estimator used by gcecif()) |
| 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 |
Documentation:
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