The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements the SVM-Maj algorithm to train data with support vector machine <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.
| Version: | 0.2.9.3 |
| Depends: | R (≥ 2.13.0), stats, graphics, parallel |
| Imports: | reshape2, scales, gridExtra, dplyr, ggplot2, kernlab |
| Suggests: | utils, testthat, magrittr, xtable |
| Published: | 2024-11-22 |
| DOI: | 10.32614/CRAN.package.SVMMaj |
| Author: | Hoksan Yip [aut, cre], Patrick J.F. Groenen [aut], Georgi Nalbantov [aut] |
| Maintainer: | Hoksan Yip <hoksan at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SVMMaj results |
| Reference manual: | SVMMaj.pdf |
| Vignettes: |
paper (source, R code) |
| Package source: | SVMMaj_0.2.9.3.tar.gz |
| Windows binaries: | r-devel: SVMMaj_0.2.9.3.zip, r-release: SVMMaj_0.2.9.3.zip, r-oldrel: SVMMaj_0.2.9.3.zip |
| macOS binaries: | r-release (arm64): SVMMaj_0.2.9.3.tgz, r-oldrel (arm64): SVMMaj_0.2.9.3.tgz, r-release (x86_64): SVMMaj_0.2.9.3.tgz, r-oldrel (x86_64): SVMMaj_0.2.9.3.tgz |
| Old sources: | SVMMaj archive |
Please use the canonical form https://CRAN.R-project.org/package=SVMMaj to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.