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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 "OptSurvCutR" in publications use:'
type: software
license: GPL-3.0-only
title: 'OptSurvCutR: Optimal Survival Cut-Point Discovery for Time-to-Event Analysis
  with ''OptSurvCutR'''
version: 0.10.0
doi: 10.1101/2025.10.08.681246
abstract: Provides a robust workflow for optimal cut-point analysis in time-to-event
  ('survival') data. Functions determine the optimal number of cut-points via find_cutpoint_number(),
  find their precise locations via find_cutpoint() using systematic or genetic algorithms
  (via the 'rgenoud' package), and validate stability via bootstrapping using validate_cutpoint().
  Features include covariate adjustment, parallel processing, and an extensible S3
  plotting engine for clinical dashboards and diagnostics.
authors:
- family-names: Yau
  given-names: Payton
  email: tungon@gmail.com
  orcid: https://orcid.org/0000-0002-3283-0370
preferred-citation:
  type: article
  title: 'OptSurvCutR: Validated Cut-point Selection for Survival Analysis'
  authors:
  - family-names: Yau
    given-names: Payton T. O.
  journal: bioRxiv
  year: '2026'
  doi: 10.1101/2025.10.08.681246
  url: https://www.biorxiv.org/content/10.1101/2025.10.08.681246v2
  notes: Preprint posted February 8, 2026
repository: https://cran.r-universe.dev
repository-code: https://github.com/paytonyau/OptSurvCutR
commit: fbe9ef48ebac55ea6c4b64304309f31c75956685
url: https://paytonyau.github.io/OptSurvCutR/
date-released: '2026-06-30'
contact:
- family-names: Yau
  given-names: Payton
  email: tungon@gmail.com
  orcid: https://orcid.org/0000-0002-3283-0370