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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 "ssurvdr" in publications use:'
type: software
license: MIT
title: 'ssurvdr: Sparse Survival Dimension Reduction for High-Dimensional Censored
  Data'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ssurvdr
abstract: Implements sparse survival sufficient dimension reduction methods for high-dimensional
  censored data, including covariance-stabilised SAVE, Maximum Entropy Covariance
  estimation, information-complexity-guided variable weighting, dual-space high-dimensional
  SAVE computation, row-wise post-estimation sparsification paths, and Cox proportional
  hazards model selection.
authors:
- family-names: Olorede
  given-names: Kabir Opeyemi
  email: kabir.olorede@kwasu.edu.ng
preferred-citation:
  type: manual
  title: 'ssurvdr: Sparse Survival Dimension Reduction for High-Dimensional Censored
    Data'
  authors:
  - family-names: Olorede
    given-names: Kabir Opeyemi
    email: kabir.olorede@kwasu.edu.ng
  year: '2026'
  notes: R package version 0.1.0
repository: https://ilovemaths.r-universe.dev
repository-code: https://github.com/ilovemaths/ssurvdr
commit: bc2d82a71e0c356c758a040888927aa0865b2827
url: https://github.com/ilovemaths/ssurvdr
date-released: '2026-10-11'
contact:
- family-names: Olorede
  given-names: Kabir Opeyemi
  email: kabir.olorede@kwasu.edu.ng