Package: stepPenal
Type: Package
Title: Stepwise Forward Variable Selection in Penalized Regression
Version: 0.2
Author: Eleni Vradi
Maintainer: Eleni Vradi <vradi.eleni@gmail.com>
Description: 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.
License: GPL-2
Depends: R (>= 3.5.0)
Imports: glmnet, mvtnorm, pROC, dfoptim, caret, stats, base
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 6.1.0
Packaged: 2026-10-14 11:48:35 UTC; root
Config/pak/sysreqs: libicu-dev
Repository: https://veleni.r-universe.dev
Date/Publication: 2018-08-24 19:50:03 UTC
RemoteUrl: https://github.com/cran/stepPenal
RemoteRef: HEAD
RemoteSha: 7cc542f036f64d86a5cff06b7d48286c47301bf7