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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 "chestR" in publications use:'
type: software
license: MIT
title: 'chestR: Kernel-Weighted Cox Regression for Treatment Effect Heterogeneity'
version: 0.1.0
doi: 10.32614/CRAN.package.chestR
abstract: Explores treatment effect heterogeneity and candidate predictive biomarkers
  by re-fitting weighted Cox proportional hazards models on a biomarker grid. Kernel
  weights centred at each grid point produce local coefficient estimates that can
  be visualised across biomarker space. Builds on ideas related to graphical Cox treatment-covariate
  interaction methods [see Bonetti and Gelber (2004) <https://doi.org/10.1093/biostatistics/kxh002>
  and local partial-likelihood approaches Fan, Lin and Zhou (2006) <https://doi.org/10.1214/009053605000000796>].
authors:
- family-names: Jackson
  given-names: Richard
  email: richj23@liverpool.ac.uk
- family-names: Jeffery
  given-names: Caroline
repository: https://richjjackson.r-universe.dev
commit: 261287d1db17f6868c86b095d8f83f1780bd5261
date-released: '2026-10-12'
contact:
- family-names: Jackson
  given-names: Richard
  email: richj23@liverpool.ac.uk