Package: starnet 1.0.2

starnet: Stacked Elastic Net

Implements stacked elastic net regression (Rauschenberger 2021 <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and lasso regularisation (Zou 2005 <doi:10.1111/j.1467-9868.2005.00503.x>). Instead of fixing or tuning the mixing parameter alpha, we combine multiple alpha by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>).

Authors:Armin Rauschenberger [aut, cre]

starnet_1.0.2.tar.gz
starnet_1.0.2.zip(r-4.7-any)starnet_1.0.2.zip(r-4.6-any)starnet_1.0.2.zip(r-4.5-any)
starnet_1.0.2.tgz(r-4.6-any)starnet_1.0.2.tgz(r-4.5-any)
starnet_1.0.2.tar.gz(r-4.7-any)starnet_1.0.2.tar.gz(r-4.6-any)
starnet_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
starnet/json (API)

# Install 'starnet' in R:
install.packages('starnet', repos = c('https://rauschenberger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rauschenberger/starnet/issues

Pkgdown/docs site:https://rauschenberger.github.io

On CRAN:

Conda:

5.80 score 7 stars 1 packages 492 downloads 2 exports 12 dependencies

Last updated from:48dfcd7977. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK147
source / vignettesOK230
linux-releaseOK156
macos-releaseOK169
macos-oldrelOK187
windows-develOK105
windows-releaseOK101
windows-oldrelOK107
wasm-releaseOK119

Exports:cv.starnetstarnet

Dependencies:codetoolscornetforeachglmnetiteratorslatticeMatrixpalassoRcppRcppEigenshapesurvival

Stacked Elastic Net
Predictive and interpretable models via the stacked elastic net | Abstract | Full text (open access)

Last update: 2024-09-27
Started: 2019-11-14

Stacked Elastic Net
Installation

Last update: 2024-09-27
Started: 2019-11-14

Stacked Elastic Net
Introduction | Simulation 1 | Simulation 2 | Application 1 | Application 2

Last update: 2024-09-24
Started: 2020-04-30

Readme and manuals

Help Manual

Help pageTopics
Stacked Elastic Net Regressionstarnet-package
glmnet::cv.glmnet.cv.glmnet
Loss.loss
Extract Coefficientscoef.starnet
Model comparisoncv.starnet
glmnet:::aucglmnet.auc
Makes Predictionspredict.starnet
Print Valuesprint.starnet
Simulation.simulate.block .simulate.grid .simulate.mode simulate-internal
Stacked Elastic Net Regressionstarnet
Extract Weightsweights.starnet