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-4.5)glmnetUtils_1.1.9.zip(r-4.4)glmnetUtils_1.1.9.zip(r-4.3)
glmnetUtils_1.1.9.tgz(r-4.4-any)glmnetUtils_1.1.9.tgz(r-4.3-any)
glmnetUtils_1.1.9.tar.gz(r-4.5-noble)glmnetUtils_1.1.9.tar.gz(r-4.4-noble)
glmnetUtils_1.1.9.tgz(r-4.4-emscripten)glmnetUtils_1.1.9.tgz(r-4.3-emscripten)
glmnetUtils.pdf |glmnetUtils.html✨
glmnetUtils/json (API)
NEWS
# 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 12 months agofrom:bbf9ac5b8d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 05 2024 |
R-4.5-win | OK | Sep 05 2024 |
R-4.5-linux | OK | Sep 05 2024 |
R-4.4-win | OK | Sep 05 2024 |
R-4.4-mac | OK | Sep 05 2024 |
R-4.3-win | OK | Sep 05 2024 |
R-4.3-mac | OK | Sep 05 2024 |
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 |