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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 "fastgbm" in publications use:'
type: software
license: MIT
title: 'fastgbm: Fast Histogram Gradient Boosting for Regression, Classification,
  and Survival Analysis'
version: 0.7.0
doi: 10.32614/CRAN.package.fastgbm
abstract: 'A fast gradient boosting machine covering four task types with one interface:
  regression (squared error), binary and multiclass classification (logistic and one-vs-rest),
  and right-censored survival analysis via Cox (Breslow ties), accelerated failure
  time (normal location-scale), or piecewise-exponential objectives, and competing
  risks via Fine-Gray subdistribution hazards, cause-specific hazards, or coupled
  cause-specific hazards, following ''CoxBoost'' (Binder et al. 2009) <https://doi.org/10.1093/bioinformatics/btp088>.
  Provides native missing-value routing, baseline-hazard estimation and survival-probability
  prediction for the survival objectives, and deterministic multi-threaded training
  via ''RcppParallel''. Methods are described in Friedman (2001) <https://doi.org/10.1214/aos/1013203451>.'
authors:
- family-names: El Badisy
  given-names: Imad
  email: elbadisyimad@gmail.com
repository: https://ielbadisy.r-universe.dev
repository-code: https://github.com/ielbadisy/fastgbm
commit: f0af3b7dee32577b396b4be52a2ce19509ddf9f7
url: https://github.com/ielbadisy/fastgbm
date-released: '2026-10-15'
contact:
- family-names: El Badisy
  given-names: Imad
  email: elbadisyimad@gmail.com