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:
GSparO_1.0.tar.gz
GSparO_1.0.zip(r-4.7)GSparO_1.0.zip(r-4.6)GSparO_1.0.zip(r-4.5)
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✨
card.svg |card.png
GSparO/json (API)
| # Install 'GSparO' in R: |
| install.packages('GSparO', repos = c('https://mayhhu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a049221098. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 115 | ||
| source / vignettes | OK | 152 | ||
| linux-release-x86_64 | NOTE | 114 | ||
| macos-release-arm64 | NOTE | 174 | ||
| macos-oldrel-arm64 | NOTE | 139 | ||
| windows-devel | NOTE | 93 | ||
| windows-release | NOTE | 92 | ||
| windows-oldrel | NOTE | 84 | ||
| wasm-release | OK | 101 |
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesThreeWayvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The example for GSparO | demon |
| Group sparse optimization | GSparO |
