Implementation of the SVM-Maj Algorithm R package SVMMaj version 0.2.9.4 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. Software Depends: R (>= 2.13.0), stats, graphics, parallel Imports: reshape2, scales, gridExtra, dplyr, ggplot2, kernlab Suggests: utils, testthat, magrittr, xtable Hoksan Yip <hoksan@gmail.com> Comprehensive R Archive Network (CRAN) Hoksan Yip [aut, cre], Patrick J.F. Groenen [aut], Georgi Nalbantov [aut] GPL-2 2026-01-14 application/tgz https://CRAN.R-project.org/package=SVMMaj doi:10.32614/CRAN.package.SVMMaj