stepPlr: L2 penalized logistic regression with a stepwise variable selection

L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.

Version: 0.92
Depends: R (≥ 2.0)
Published: 2010-07-26
Author: Mee Young Park, Trevor Hastie
Maintainer: Mee Young Park <meeyoung at google.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: NA
Materials: NA
In views: ChemPhys
CRAN checks: stepPlr results

Downloads:

Reference manual: stepPlr.pdf
Package source: stepPlr_0.92.tar.gz
Windows binaries: r-devel: stepPlr_0.92.zip, r-release: stepPlr_0.92.zip, r-oldrel: stepPlr_0.92.zip
OS X Snow Leopard binaries: r-release: stepPlr_0.92.tgz, r-oldrel: stepPlr_0.92.tgz
OS X Mavericks binaries: r-release: stepPlr_0.92.tgz
Old sources: stepPlr archive

Reverse dependencies:

Reverse suggests: fscaret, mlr, subsemble, SuperLearner