The formula interface | Generating the model matrix | Using model.frame | Manually building the model matrix | Speed comparisons | Sparse model matrix | Crossvalidation for $\alpha$ | Conclusion
Package: glmnetUtils 1.1.9
glmnetUtils: Utilities for 'Glmnet'
Provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
Authors:
glmnetUtils_1.1.9.tar.gz
glmnetUtils_1.1.9.zip(r-4.7)glmnetUtils_1.1.9.zip(r-4.6)glmnetUtils_1.1.9.zip(r-4.5)
glmnetUtils_1.1.9.tgz(r-4.6-any)glmnetUtils_1.1.9.tgz(r-4.5-any)
glmnetUtils_1.1.9.tar.gz(r-4.7-any)glmnetUtils_1.1.9.tar.gz(r-4.6-any)
glmnetUtils_1.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glmnetUtils/json (API)
| # Install 'glmnetUtils' in R: |
| install.packages('glmnetUtils', repos = c('https://hongooi73.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hongooi73/glmnetutils/issues
cross-validationglmnetlassoregression-models
Last updated from:bbf9ac5b8d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 227 | ||
| source / vignettes | OK | 196 | ||
| linux-release-x86_64 | OK | 222 | ||
| macos-release-arm64 | OK | 178 | ||
| macos-oldrel-arm64 | OK | 117 | ||
| windows-devel | OK | 171 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 167 | ||
| wasm-release | OK | 141 |
Exports:cv.glmnetcva.glmnetglmnetminlossplot
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Formula interface for elastic net cross-validation with cv.glmnet | coef.cv.glmnet.formula coef.cv.relaxed.formula cv.glmnet cv.glmnet.default cv.glmnet.formula predict.cv.glmnet.formula predict.cv.relaxed.formula print.cv.glmnet.formula |
| Do elastic net cross-validation for alpha and lambda simultaneously | coef.cva.glmnet cva.glmnet cva.glmnet.default cva.glmnet.formula minlossplot minlossplot.cva.glmnet plot.cva.glmnet predict.cva.glmnet predict.cva.glmnet.formula print.cva.glmnet.formula |
| Formula interface for elastic net modelling with glmnet | coef.glmnet.formula coef.relaxed.formula glmnet glmnet.default glmnet.formula predict.glmnet.formula predict.relaxed.formula print.glmnet.formula print.relaxed.formula |
| Model matrix options for glmnet | glmnet.model.frame glmnet.model.matrix glmnet.modelFrame glmnet.modelMatrix |
| Utilities for glmnet | glmnetUtils-package glmnetUtils |
