Package: GSparO 1.0

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-4.5)GSparO_1.0.zip(r-4.4)GSparO_1.0.zip(r-4.3)
GSparO_1.0.tgz(r-4.5-any)GSparO_1.0.tgz(r-4.4-any)GSparO_1.0.tgz(r-4.3-any)
GSparO_1.0.tar.gz(r-4.5-noble)GSparO_1.0.tar.gz(r-4.4-noble)
GSparO_1.0.tgz(r-4.4-emscripten)GSparO_1.0.tgz(r-4.3-emscripten)
GSparO.pdf |GSparO.html✨
GSparO/json (API)

# Install 'GSparO' in R:
install.packages('GSparO', repos = c('https://mayhhu.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 2 scripts 132 downloads 2 exports 29 dependencies

Last updated 8 years agofrom:a049221098. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winNOTEMar 25 2025
R-4.5-macNOTEMar 25 2025
R-4.5-linuxNOTEMar 25 2025
R-4.4-winNOTEMar 25 2025
R-4.4-macNOTEMar 25 2025
R-4.4-linuxNOTEMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:demonGSparO

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesThreeWaytibbleutf8vctrsviridisLitewithr