The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

SVEMnet: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression

Implements Self-Validated Ensemble Models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole-model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>).

Version: 2.2.4
Depends: R (≥ 3.5.0)
Imports: glmnet (≥ 4.1-2), stats, cluster, ggplot2, lhs, foreach, doParallel, parallel, gamlss, gamlss.dist
Suggests: covr, knitr, rmarkdown, testthat (≥ 3.0.0), withr, vdiffr
Published: 2025-09-26
DOI: 10.32614/CRAN.package.SVEMnet
Author: Andrew T. Karl ORCID iD [cre, aut]
Maintainer: Andrew T. Karl <akarl at asu.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: SVEMnet citation info
Materials: NEWS
CRAN checks: SVEMnet results

Documentation:

Reference manual: SVEMnet.html , SVEMnet.pdf
Vignettes: SVEMnet Vignette (source, R code)

Downloads:

Package source: SVEMnet_2.2.4.tar.gz
Windows binaries: r-devel: SVEMnet_2.2.4.zip, r-release: SVEMnet_2.2.4.zip, r-oldrel: SVEMnet_2.2.4.zip
macOS binaries: r-release (arm64): SVEMnet_2.2.4.tgz, r-oldrel (arm64): SVEMnet_2.2.4.tgz, r-release (x86_64): SVEMnet_2.2.4.tgz, r-oldrel (x86_64): SVEMnet_2.2.4.tgz
Old sources: SVEMnet archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SVEMnet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.