# ------------------------------------------------
# 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 "BeSS" in publications use:'
type: software
license: GPL-3.0-only
title: 'BeSS: Best Subset Selection in Linear, Logistic and CoxPH Models'
version: 2.0.4
doi: 10.18637/jss.v094.i04
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BeSS
abstract: An implementation of best subset selection in generalized linear model and
  Cox proportional hazard model via the primal dual active set algorithm proposed
  by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <https://doi.org/10.18637/jss.v094.i04>.
  The algorithm formulates coefficient parameters and residuals as primal and dual
  variables and utilizes efficient active set selection strategies based on the complementarity
  of the primal and dual variables.
authors:
- family-names: Wen
  given-names: Canhong
  email: wencanhong@gmail.com
- family-names: Zhang
  given-names: Aijun
  email: ajzhang@hku.hk
- family-names: Quan
  given-names: Shijie
  email: 329773935@qq.com
- family-names: Wang
  given-names: Xueqin
  email: wangxq20@ustc.edu.cn
preferred-citation:
  type: article
  title: 'BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox
    Proportional Hazards Models'
  authors:
  - family-names: Wen
    given-names: Canhong
    email: wench@ustc.edu.cn
  - family-names: Zhang
    given-names: Aijun
    email: ajzhang@hku.hk
  - family-names: Quan
    given-names: Shijie
    email: 329773935@qq.com
  - family-names: Wang
    given-names: Xueqin
    email: wangxq88@mail.sysu.edu.cn
  journal: Journal of Statistical Software
  year: '2020'
  volume: '94'
  issue: '4'
  doi: 10.18637/jss.v094.i04
  start: '1'
  end: '24'
repository: https://wencanhong-coder.r-universe.dev
commit: 0d63e28b1d9d96d6de1139bb0974af98a93cd885
date-released: '2024-01-10'
contact:
- family-names: Wen
  given-names: Canhong
  email: wencanhong@gmail.com