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.html , 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.
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