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
DOI: 10.32614/CRAN.package.l2boost
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


Reference manual: l2boost.pdf


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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