Implements stacked elastic net regression (combining multiple mixing parameters rather than selecting one mixing parameter).
Install the current release from CRAN:
install.packages("starnet")or the latest development version from GitHub:
#install.packages("remotes")
remotes::install_github("rauschenberger/starnet")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.
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/.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.