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 = '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:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 13 2025 |
R-4.5-linux | OK | Mar 13 2025 |
R-4.4-linux | OK | Mar 13 2025 |
Exports:arrayspcconvcheckcv.enetenetplot.enetpredict.enetprint.arrayspcprint.enetprint.spcarootmatrixsoftsolvebetaspcaupdateRR
Dependencies:lars
Citation
To cite package ‘elasticnet’ in publications use:
Zou H, Hastie T (2020). elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA. R package version 1.3, https://CRAN.R-project.org/package=elasticnet.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA}, author = {Hui Zou and Trevor Hastie}, year = {2020}, note = {R package version 1.3}, url = {https://CRAN.R-project.org/package=elasticnet}, }
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 |