Package: SGL 1.3
SGL: Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization
Fit a regularized generalized linear model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. Fits linear, logistic and Cox models.
Authors:
SGL_1.3.tar.gz
SGL_1.3.zip(r-4.5)SGL_1.3.zip(r-4.4)SGL_1.3.zip(r-4.3)
SGL_1.3.tgz(r-4.4-x86_64)SGL_1.3.tgz(r-4.4-arm64)SGL_1.3.tgz(r-4.3-x86_64)SGL_1.3.tgz(r-4.3-arm64)
SGL_1.3.tar.gz(r-4.5-noble)SGL_1.3.tar.gz(r-4.4-noble)
SGL_1.3.tgz(r-4.4-emscripten)SGL_1.3.tgz(r-4.3-emscripten)
SGL.pdf |SGL.html✨
SGL/json (API)
| # Install 'SGL' in R: |
| install.packages('SGL', repos = c('https://nrs02004.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 5 years agofrom:3f51a8d0b6. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 22 2024 |
| R-4.5-win-x86_64 | OK | Aug 22 2024 |
| R-4.5-linux-x86_64 | OK | Aug 22 2024 |
| R-4.4-win-x86_64 | OK | Aug 22 2024 |
| R-4.4-mac-x86_64 | OK | Aug 22 2024 |
| R-4.4-mac-aarch64 | OK | Aug 22 2024 |
| R-4.3-win-x86_64 | OK | Aug 22 2024 |
| R-4.3-mac-x86_64 | OK | Aug 22 2024 |
| R-4.3-mac-aarch64 | OK | Aug 22 2024 |
Exports:cvSGLpredictSGLSGL
Dependencies:
