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
LazyData: true
Imports: stats,ThreeWay,ggplot2
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-20 04:02:36 UTC; Administrator
Author: Yaohua Hu [aut, cre, cph],
  Xinlin Hu [trl]
Maintainer: Yaohua Hu <mayhhu@szu.edu.cn>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:11
Built: R 4.6.0; ; 2026-04-26 07:57:18 UTC; unix
