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-4.5)GSparO_1.0.zip(r-4.4)GSparO_1.0.zip(r-4.3)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:a049221098. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | NOTE | Oct 26 2024 |
| R-4.5-linux | NOTE | Oct 26 2024 |
| R-4.4-win | NOTE | Oct 26 2024 |
| R-4.4-mac | NOTE | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesThreeWaytibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The example for GSparO | demon |
| Group sparse optimization | GSparO |
