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Stacked Elastic Net Regression

Implements stacked elastic net regression (combining multiple mixing parameters rather than selecting one mixing parameter).

Installation

Install the current release from CRAN:

install.packages("starnet")

or the latest development version from GitHub:

#install.packages("remotes")
remotes::install_github("rauschenberger/starnet")

Reference

Armin Rauschenberger , Enrico Glaab , and Mark A. van de Wiel (2021). "Predictive and interpretable models via the stacked elastic net". Bioinformatics 37(14):2012-2016. doi: 10.1093/bioinformatics/btaa535.

Disclaimer

The R package starnet implements stacked elastic net regression (Rauschenberger et al., 2021).

Copyright © 2019 Armin Rauschenberger, University of Luxembourg, Luxembourg Centre for Systems Biomedicine (LCSB), Biomedical Data Science (BDS)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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Version

Install

install.packages('starnet')

Monthly Downloads

277

Version

1.0.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Armin Rauschenberger

Last Published

June 10th, 2025

Functions in starnet (1.0.0)

coef.starnet

Extract Coefficients
glmnet.auc

glmnet:::auc
.simulate

Simulation
predict.starnet

Makes Predictions
.loss

Loss
starnet-package

Stacked Elastic Net Regression
.cv.glmnet

glmnet::cv.glmnet
starnet

Stacked Elastic Net Regression
cv.starnet

Model comparison
print.starnet

Print Values
weights.starnet

Extract Weights