Package: glmlep 0.2
Canhong Wen
glmlep: Fit GLM with LEP-Based Penalized Maximum Likelihood
Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by LEP.
Authors:
glmlep_0.2.tar.gz
glmlep_0.2.tar.gz(r-4.5-noble)glmlep_0.2.tar.gz(r-4.4-noble)
glmlep_0.2.tgz(r-4.4-emscripten)glmlep_0.2.tgz(r-4.3-emscripten)
glmlep.pdf |glmlep.html✨
glmlep/json (API)
| # Install 'glmlep' in R: |
| install.packages('glmlep', repos = c('https://cran.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 6 years agofrom:13d1bcb83d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 14 2024 |
| R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Regularization paths for LEP-penalized regression models | glmlep-package |
| Cross-validation for 'glmlep'. | cv.glmlep |
| Fit a GLM wit LEP regularization | glmlep |
| Internal glmlep functions | loglike |
| Internal glmlep functions | SetLambda |
| Internal glmlep functions | soft |