Package: elasticnet 1.3
Hui Zou
elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA
Provides functions for fitting the entire solution path of the Elastic-Net and also provides functions for doing sparse PCA.
Authors:
elasticnet_1.3.tar.gz
elasticnet_1.3.tar.gz(r-4.5-noble)elasticnet_1.3.tar.gz(r-4.4-noble)
elasticnet_1.3.tgz(r-4.4-emscripten)elasticnet_1.3.tgz(r-4.3-emscripten)
elasticnet.pdf |elasticnet.html✨
elasticnet/json (API)
| # Install 'elasticnet' in R: |
| install.packages('elasticnet', 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 5 years agofrom:42e1465dfd. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
Exports:arrayspcconvcheckcv.enetenetplot.enetpredict.enetprint.arrayspcprint.enetprint.spcarootmatrixsoftsolvebetaspcaupdateRR
Dependencies:lars
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sparse PCs of Microarrays | arrayspc |
| Computes K-fold cross-validated error curve for elastic net | cv.enet |
| Blood and other measurements in diabetics | diabetes |
| Fits Elastic Net regression models | enet |
| Pitprops correlation data | pitprops |
| Plot method for enet objects | plot.enet |
| Make predictions or extract coefficients from a fitted elastic net model | predict.enet |
| Print method for arrayspc objects | print.arrayspc |
| Print method for enet objects | print.enet |
| Print method for spca objects | print.spca |
| Sparse Principal Components Analysis | spca |