Group Sparse Optimization

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".


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install.packages("GSparO")

1.0 by Yaohua Hu, 9 months ago


Browse source code at https://github.com/cran/GSparO


Authors: Yaohua Hu [aut, cre, cph], Xinlin Hu [trl]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, ThreeWay, ggplot2


See at CRAN