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-4.7-x86_64)SGL_1.3.zip(r-4.7-arm64)SGL_1.3.zip(r-4.6-x86_64)SGL_1.3.zip(r-4.6-arm64)SGL_1.3.zip(r-4.5-x86_64)
SGL_1.3.tgz(r-4.6-x86_64)SGL_1.3.tgz(r-4.6-arm64)SGL_1.3.tgz(r-4.5-x86_64)SGL_1.3.tgz(r-4.5-arm64)
SGL_1.3.tar.gz(r-4.7-arm64)SGL_1.3.tar.gz(r-4.7-x86_64)SGL_1.3.tar.gz(r-4.6-arm64)SGL_1.3.tar.gz(r-4.6-x86_64)
SGL_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:3f51a8d0b6. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 84 | ||
| linux-devel-x86_64 | OK | 91 | ||
| source / vignettes | OK | 157 | ||
| linux-release-arm64 | OK | 67 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 143 | ||
| macos-release-x86_64 | OK | 352 | ||
| macos-oldrel-arm64 | OK | 185 | ||
| macos-oldrel-x86_64 | OK | 269 | ||
| windows-devel-arm64 | OK | 309 | ||
| windows-devel-x86_64 | OK | 108 | ||
| windows-release-arm64 | OK | 306 | ||
| windows-release-x86_64 | OK | 57 | ||
| windows-oldrel-x86_64 | OK | 70 | ||
| wasm-release | OK | 73 |
Exports:cvSGLpredictSGLSGL
Dependencies:
