This package is considered a duplicate. The official version of this package is found at:https://mayhhu.r-universe.dev/GSparO

Package: GSparO 1.0

Yaohua Hu

GSparO: 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".

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

GSparO_1.0.tar.gz
GSparO_1.0.zip(r-4.7-any)GSparO_1.0.zip(r-4.6-any)GSparO_1.0.zip(r-4.5-any)
GSparO_1.0.tgz(r-4.6-any)GSparO_1.0.tgz(r-4.5-any)
GSparO_1.0.tar.gz(r-4.7-any)GSparO_1.0.tar.gz(r-4.6-any)
GSparO_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GSparO/json (API)

# Install 'GSparO' in R:

install.packages('GSparO', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

archived packages r-universe

1.70 score 5 stars 2 scripts 277 downloads 2 exports 18 dependencies

Last updated from:bee405689b (on package/GSparO). Checks:7 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel	NOTE	99
source / vignettes	OK	139
linux-release	NOTE	104
macos-release	NOTE	93
macos-oldrel	NOTE	97
windows-devel	NOTE	57
windows-release	NOTE	78
windows-oldrel	NOTE	73
wasm-release	OK	90