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SVMMaj

Implementation of the SVM-Maj Algorithm

v0.2.9.4 · Jan 14, 2026 · GPL-2
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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.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies reshape2 scales gridExtra dplyr ggplot2 kernlab SVMMaj

Version History

new 0.2.9.4 Mar 10, 2026
updated 0.2.9.4 ← 0.2.9.3 diff Jan 13, 2026
updated 0.2.9.3 ← 0.2.9.2 diff Nov 21, 2024
updated 0.2.9.2 ← 0.2.9.1 diff Aug 18, 2024
updated 0.2.9.1 ← 0.2.9 diff May 22, 2022
updated 0.2.9 ← 0.2-8 diff Jan 25, 2019
updated 0.2-8 ← 0.2-2 diff Feb 25, 2018
new 0.2-2 Jan 12, 2011