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>
License: GPL-2
NeedsCompilation: no
CRAN checks: SVMMaj results


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


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