Package: SVMMaj
Type: Package
Title: Implementation of the SVM-Maj Algorithm
Version: 0.2.9.4
Date: 2026-01-14
Authors@R: c(
    person(given = "Hoksan", family = "Yip", role = c("aut", "cre"), email = "hoksan@gmail.com"),
    person(given = c("Patrick", "J.F."), family = "Groenen", role = "aut"),
    person(given = "Georgi", family = "Nalbantov", role = "aut")
    )
Description: 
  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.
Imports: reshape2, scales, gridExtra, dplyr, ggplot2, kernlab
Depends: R (>= 2.13.0), stats, graphics, parallel
Suggests: utils, testthat, magrittr, xtable
License: GPL-2
LazyData: Yes
RoxygenNote: 7.3.3
VignetteBuilder: utils
NeedsCompilation: no
Packaged: 2026-01-14 19:52:12 UTC; hoksanyip
Author: Hoksan Yip [aut, cre],
  Patrick J.F. Groenen [aut],
  Georgi Nalbantov [aut]
Maintainer: Hoksan Yip <hoksan@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-14 20:40:02 UTC
Built: R 4.6.0; ; 2026-04-29 08:41:15 UTC; unix
