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 |
| CRAN checks: | SVMMaj results |
| 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 |