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.

stepPenal: Stepwise Forward Variable Selection in Penalized Regression

Model Selection Based on Combined Penalties. This package implements a stepwise forward variable selection algorithm based on a penalized likelihood criterion that combines the L0 with L2 or L1 norms.

Version: 0.2
Depends: R (≥ 3.5.0)
Imports: glmnet, mvtnorm, pROC, dfoptim, caret, stats, base
Published: 2018-08-24
DOI: 10.32614/CRAN.package.stepPenal
Author: Eleni Vradi
Maintainer: Eleni Vradi <vradi.eleni at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: stepPenal results

Documentation:

Reference manual: stepPenal.pdf

Downloads:

Package source: stepPenal_0.2.tar.gz
Windows binaries: r-devel: stepPenal_0.2.zip, r-release: stepPenal_0.2.zip, r-oldrel: stepPenal_0.2.zip
macOS binaries: r-release (arm64): stepPenal_0.2.tgz, r-oldrel (arm64): stepPenal_0.2.tgz, r-release (x86_64): stepPenal_0.2.tgz, r-oldrel (x86_64): stepPenal_0.2.tgz
Old sources: stepPenal archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stepPenal 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.