SVMMaj: Implementation of the SVM-Maj Algorithm

Implements the SVM-Maj algorithm to train data with support vector machine as described in Groenen et al. (2008) <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Version: 0.2-8
Depends: R (≥ 2.13.0), stats, graphics
Imports: reshape2, scales, gridExtra, dplyr, ggplot2, kernlab
Suggests: utils, testthat, magrittr, xtable
Published: 2018-02-26
Author: Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
Maintainer: Hok San Yip <hoksan at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: SVMMaj results

Downloads:

Reference manual: SVMMaj.pdf
Vignettes: paper
Package source: SVMMaj_0.2-8.tar.gz
Windows binaries: r-prerel: SVMMaj_0.2-8.zip, r-release: SVMMaj_0.2-8.zip, r-oldrel: SVMMaj_0.2-8.zip
OS X binaries: r-prerel: SVMMaj_0.2-8.tgz, r-release: SVMMaj_0.2-8.tgz
Old sources: SVMMaj archive

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