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# CITATION 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 "APML0" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'APML0: Augmented and Penalized Minimization Method L0'
version: '0.11'
doi: 10.1002/sim.7526
abstract: Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net
  (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as
  adaptive lasso / elastic-net and net adjusting for signs of linked coefficients.
  It solves the L0 penalty problem by simultaneously selecting regularization parameters
  and performing hard-thresholding or selecting the number of non-zeros. This augmented
  and penalized minimization method provides an approximation solution to the L0 penalty
  problem, but runs as fast as L1 regularization. The package uses a one-step coordinate
  descent algorithm and runs extremely fast by taking into account the sparsity structure
  of coefficients. It can handle very high dimensional data and has superior selection
  performance.
authors:
- family-names: Li
  given-names: Xiang
  email: spiritcoke@gmail.com
- family-names: Xie
  given-names: Shanghong
- family-names: Zeng
  given-names: Donglin
- family-names: Wang
  given-names: Yuanjia
preferred-citation:
  type: article
  title: Efficient l0-norm feature selection based on augmented and penalized minimization
  authors:
  - family-names: Li
    given-names: Xiang
    email: spiritcoke@gmail.com
  - family-names: Xie
    given-names: Shanghong
  - family-names: Zeng
    given-names: Donglin
  - family-names: Wang
    given-names: Yuanjia
  journal: Statistics in Medicine
  volume: '37'
  issue: '3'
  year: '2018'
  doi: 10.1002/sim.7526
  url: https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.7526
  start: '473'
  end: '486'
repository: https://leesprite.r-universe.dev
repository-code: https://github.com/LeeSprite/APML0
commit: e1495a087a6a61d4f141b2581ceb03e7f456a122
url: https://github.com/LeeSprite/APML0
date-released: '2026-06-13'
contact:
- family-names: Li
  given-names: Xiang
  email: spiritcoke@gmail.com