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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "survdnn" in publications use:'
type: software
license: MIT
title: 'survdnn: Deep Neural Networks for Survival Analysis with R ''torch'''
version: 0.7.6
doi: 10.32614/CRAN.package.survdnn
abstract: Provides deep learning models for right-censored survival data using the
  'torch' backend. Supports multiple loss functions, including Cox partial likelihood,
  L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers
  a formula-based interface, built-in support for cross-validation, hyperparameter
  tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier
  score, and integrated Brier score. For methodological details, see Kvamme et al.
  (2019) <https://www.jmlr.org/papers/v20/18-424.html>.
authors:
- family-names: EL BADISY
  given-names: Imad
  email: elbadisyimad@gmail.com
repository: https://ielbadisy.r-universe.dev
repository-code: https://github.com/ielbadisy/survdnn
commit: 154b073a183552e701bae50f2a853e444d3492c5
url: https://github.com/ielbadisy/survdnn
date-released: '2026-04-28'
contact:
- family-names: EL BADISY
  given-names: Imad
  email: elbadisyimad@gmail.com