l2boost: Exploring Friedman's Boosting Algorithm for Regularized Linear Regression

Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.

Version:	1.0.3
Depends:	R (≥ 2.14.0), MASS, parallel
Published:	2022-02-11
Author:	John Ehrlinger [aut, cre], Hemant Ishwaran [aut]
Maintainer:	John Ehrlinger <john.ehrlinger at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	l2boost citation info
Materials:	README NEWS
CRAN checks:	l2boost results

Documentation:

Reference manual:

l2boost.pdf

Downloads:

Package source:	l2boost_1.0.3.tar.gz
Windows binaries:	r-devel: l2boost_1.0.3.zip, r-release: l2boost_1.0.3.zip, r-oldrel: l2boost_1.0.3.zip
macOS binaries:	r-release (arm64): l2boost_1.0.3.tgz, r-oldrel (arm64): l2boost_1.0.3.tgz, r-release (x86_64): l2boost_1.0.3.tgz, r-oldrel (x86_64): l2boost_1.0.3.tgz
Old sources:	l2boost archive

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