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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gcemod" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'gcemod: Generalized Competing Event Models with Lunn-McNeil Testing'
version: 0.3.0
abstract: 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) <https://doi.org/10.1016/j.ijrobp.2014.03.047>,
  Mell et al. (2024) <https://doi.org/10.1016/j.eururo.2023.01.020>, and Lunn and
  McNeil (1995) <https://doi.org/10.2307/2532940>.
authors:
- family-names: Mell
  given-names: Loren
  email: lmell@ucsd.edu
preferred-citation:
  type: article
  title: 'gcemod: Generalized Competing Event Modeling with Lunn-McNeil Estimation
    in R'
  authors:
  - family-names: Mell
    given-names: Loren K.
  journal: Journal of Statistical Software
  year: '2026'
  notes: Manuscript submitted for publication
repository: https://cran.r-universe.dev
commit: e5f148ba30184f5afd3132ab712c6e0148884ab8
date-released: '2026-09-02'
contact:
- family-names: Mell
  given-names: Loren
  email: lmell@ucsd.edu