SVMMaj: SVMMaj algorithm

Implements the SVM-Maj algorithm to train data with Support Vector Machine, this algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Version: 0.2-2
Depends: R (≥ 2.9.0), kernlab
Imports: graphics, stats, MASS, methods
Published: 2011-01-13
Author: Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
Maintainer: Hok San Yip <hoksan at gmail.com>
License: GPL-2
NeedsCompilation: no
Citation: NA
Materials: NA
CRAN checks: SVMMaj results

Downloads:

Reference manual: SVMMaj.pdf
Package source: SVMMaj_0.2-2.tar.gz
Windows binaries: r-devel: SVMMaj_0.2-2.zip, r-release: SVMMaj_0.2-2.zip, r-oldrel: SVMMaj_0.2-2.zip
OS X Snow Leopard binaries: r-release: SVMMaj_0.2-2.tgz, r-oldrel: SVMMaj_0.2-2.tgz
OS X Mavericks binaries: r-release: SVMMaj_0.2-2.tgz