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Provides twin support vector machine classifiers and visualization tools for small to moderate classification problems. Includes one-vs-one multi-class classification and a standard support vector machine baseline for comparison.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, Rcpp, rlang |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | e1071, gganimate, knitr, plotly, rmarkdown, shiny, testthat (≥ 3.0.0) |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.twinsvm |
| Author: | Shamika Tissera [aut, cre] |
| Maintainer: | Shamika Tissera <nimeshshamika at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | twinsvm results |
| Reference manual: | twinsvm.html , twinsvm.pdf |
| Vignettes: |
Getting Started with twinsvm (source, R code) |
| Package source: | twinsvm_0.0.2.tar.gz |
| Windows binaries: | r-devel: twinsvm_0.0.2.zip, r-release: twinsvm_0.0.1.zip, r-oldrel: twinsvm_0.0.2.zip |
| macOS binaries: | r-release (arm64): twinsvm_0.0.2.tgz, r-oldrel (arm64): twinsvm_0.0.2.tgz, r-release (x86_64): twinsvm_0.0.2.tgz, r-oldrel (x86_64): twinsvm_0.0.2.tgz |
| Old sources: | twinsvm archive |
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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.
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