Package: twinsvm 0.0.2

twinsvm: Twin Support Vector Machines

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.

Authors:Shamika Tissera [aut, cre]

twinsvm_0.0.2.tar.gz
twinsvm_0.0.2.zip(r-4.7)twinsvm_0.0.2.zip(r-4.6)twinsvm_0.0.2.zip(r-4.5)
twinsvm_0.0.2.tgz(r-4.6-x86_64)twinsvm_0.0.2.tgz(r-4.6-arm64)twinsvm_0.0.2.tgz(r-4.5-x86_64)twinsvm_0.0.2.tgz(r-4.5-arm64)
twinsvm_0.0.2.tar.gz(r-4.7-arm64)twinsvm_0.0.2.tar.gz(r-4.7-x86_64)twinsvm_0.0.2.tar.gz(r-4.6-arm64)twinsvm_0.0.2.tar.gz(r-4.6-x86_64)
twinsvm_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
twinsvm/json (API)
NEWS

# Install 'twinsvm' in R:
install.packages('twinsvm', repos = c('https://shamika-tissera.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.70 score 10 downloads 11 exports 19 dependencies

Last updated from:2210442d36. Checks:11 OK, 2 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK160
linux-devel-x86_64ERROR166
source / vignettesOK244
linux-release-arm64OK163
linux-release-x86_64ERROR162
macos-release-arm64OK211
macos-release-x86_64OK487
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK449
windows-develOK155
windows-releaseOK156
windows-oldrelOK143
wasm-releaseOK117

Exports:compare_methodsconfusioncv_tsvmgen_circlesgen_moonskernel_liftlift_plotlift_plotlymorph_boundarysvmstsvm

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr

Getting Started with twinsvm

Rendered fromtwinsvm.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2026-06-08
Started: 2026-06-08