Introduction | Installation | Quick Start | Grouped features | Cross-validation (CV) | Other options
Package: pcLasso 1.2
pcLasso: Principal Components Lasso
A method for fitting the entire regularization path of the principal components lasso for linear and logistic regression models. The algorithm uses cyclic coordinate descent in a path-wise fashion. See URL below for more information on the algorithm. See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression' <arxiv:1810.04651>.
Authors:
pcLasso_1.2.tar.gz
pcLasso_1.2.zip(r-4.7)pcLasso_1.2.zip(r-4.6)pcLasso_1.2.zip(r-4.5)
pcLasso_1.2.tgz(r-4.6-x86_64)pcLasso_1.2.tgz(r-4.6-arm64)pcLasso_1.2.tgz(r-4.5-x86_64)pcLasso_1.2.tgz(r-4.5-arm64)
pcLasso_1.2.tar.gz(r-4.7-arm64)pcLasso_1.2.tar.gz(r-4.7-x86_64)pcLasso_1.2.tar.gz(r-4.6-arm64)pcLasso_1.2.tar.gz(r-4.6-x86_64)
pcLasso_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pcLasso/json (API)
| # Install 'pcLasso' in R: |
| install.packages('pcLasso', repos = c('https://tibshirani.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:4047b5f890. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 101 | ||
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 152 | ||
| linux-release-arm64 | OK | 105 | ||
| linux-release-x86_64 | OK | 106 | ||
| macos-release-arm64 | OK | 91 | ||
| macos-release-x86_64 | OK | 194 | ||
| macos-oldrel-arm64 | OK | 106 | ||
| macos-oldrel-x86_64 | OK | 199 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 99 |
Exports:cv.pcLassopcLassopredict.cv.pcLassopredict.pcLasso
Dependencies:svd
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validation for pcLasso | cv.pcLasso |
| Fit a model with principal components lasso | pcLasso |
| Plot the cross-validation curve produced by "cv.pcLasso" object | plot.cv.pcLasso |
| Make predictions from a "cv.pcLasso" object | predict.cv.pcLasso |
| Make predictions from a "pcLasso" object | predict.pcLasso |
