This package is considered a duplicate. The official version of this package is found at:https://shamika-tissera.r-universe.dev/twinsvm

Package: twinsvm 0.0.4

Shamika Tissera

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_0.0.4.tar.gz
twinsvm_0.0.4.zip(r-4.7-x86_64)twinsvm_0.0.4.zip(r-4.7-arm64)twinsvm_0.0.4.zip(r-4.6-x86_64)twinsvm_0.0.4.zip(r-4.6-arm64)
twinsvm_0.0.4.tar.gz(r-4.7-arm64)twinsvm_0.0.4.tar.gz(r-4.7-x86_64)twinsvm_0.0.4.tar.gz(r-4.6-arm64)twinsvm_0.0.4.tar.gz(r-4.6-x86_64)
twinsvm_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
twinsvm/json (API)

# Install 'twinsvm' in R:

install.packages('twinsvm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

twomoons - Example Two-Moons Data

On CRAN:

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

openblas cpp

3.00 score 238 downloads 12 exports 19 dependencies

Last updated from:aa3b0e1874. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	138
linux-devel-x86_64	OK	151
source / vignettes	OK	254
linux-release-arm64	OK	130
linux-release-x86_64	OK	132
windows-devel-arm64	OK	222
windows-devel-x86_64	OK	165
windows-release-arm64	OK	262
windows-release-x86_64	OK	140
wasm-release	OK	104

Exports:compare_methods confusion cv_tsvm gen_circles gen_moons kernel_lift lift_plot lift_plotly morph_boundary resample_accuracy svms tsvm

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales vctrs viridisLite withr

Getting Started with twinsvm

Rendered fromtwinsvm.Rmdusingknitr::rmarkdown

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

Citation

Readme and manuals

Help Manual

Help page	Topics
twinsvm: Twin Support Vector Machines	twinsvm-package twinsvm
Extract Twin-SVM Coefficients	coef.tsvm
Compare Twin-SVM and Standard SVM Boundaries	compare_methods
Confusion Matrix and Accuracy	confusion
Cross-Validate Twin-SVM Hyperparameters	cv_tsvm
Generate Concentric Circles Data	gen_circles
Generate Two-Moons Data	gen_moons
Compatibility Alias for the RBF Kernel Lift Plot	kernel_lift
Static RBF Kernel Lift Plot	lift_plot
Interactive RBF Kernel Lift Plot	lift_plotly
Animate a Decision Boundary Across a Hyperparameter Range	morph_boundary
Plot Twin-SVM Cross-Validation Results	plot.cv_tsvm
Plot the Accuracy Spread from Repeated Splits	plot.resample_accuracy
Plot a Standard SVM Decision Boundary	plot.svms
Plot a Twin-SVM Decision Boundary	plot.tsvm
Predict from a Standard SVM	predict.svms
Predict from a Multiclass Standard SVM	predict.svms_multiclass
Predict from a Multiclass Twin SVM	predict.tsvm_multiclass
Print a Multiclass Standard SVM	print.svms_multiclass
Print a Multiclass Twin SVM	print.tsvm_multiclass
Accuracy and Its Spread over Repeated Random Splits	resample_accuracy
Fit a Standard C-SVC Support Vector Machine	svms
Fit a Twin Support Vector Machine	tsvm
Example Two-Moons Data	twomoons

Package: twinsvm 0.0.4

twinsvm: Twin Support Vector Machines

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)