Package: GSparO
Title: Group Sparse Optimization
Version: 1.0
Authors@R: c(person("Yaohua", "Hu", email = "mayhhu@szu.edu.cn", role = c("aut","cre","cph")),person("Xinlin", "Hu", email = "ramakstt@gmail.com", role = c("trl")))
Description: 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".
Depends: R (>= 3.3.1)
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats,ThreeWay,ggplot2
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2026-10-12 23:12:50 UTC; root
Author: Yaohua Hu [aut, cre, cph], Xinlin Hu [trl]
Maintainer: Yaohua Hu <mayhhu@szu.edu.cn>
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-10-12 08:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/GSparO
RemoteSha: bee405689b27c2df718d93d1d945a44aef17f422
RemoteSubdir: GSparO