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cff-version: 1.2.0
message: 'To cite package "GSparO" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'GSparO: Group Sparse Optimization'
version: '1.0'
doi: 10.32614/CRAN.package.GSparO
abstract: Approaches a group sparse solution of an underdetermined linear system.
  It implements the proximal gradient algorithm to solve a lower regularization model
  of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li,
  K. Meng, J. Qin and X. Yang. Group sparse optimization via l_p,q regularization.
  Journal of Machine Learning Research, to appear, 2017".
authors:
- family-names: Hu
  given-names: Yaohua
  email: mayhhu@szu.edu.cn
repository: https://cranhaven.r-universe.dev
commit: bee405689b27c2df718d93d1d945a44aef17f422
date-released: '2026-10-12'
contact:
- family-names: Hu
  given-names: Yaohua
  email: mayhhu@szu.edu.cn