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: |
0.2.9.1 |
| Depends: |
R (≥ 2.13.0), stats, graphics |
| Imports: |
reshape2, scales, gridExtra, dplyr, ggplot2, kernlab |
| Suggests: |
utils, testthat, magrittr, xtable |
| Published: |
2022-05-23 |
| 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 |
Documentation:
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