sparseSVM (version 1.1-7)

Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization

Description

Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) .

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Install

install.packages('sparseSVM')

Monthly Downloads

248

Version

1.1-7

License

GPL-3

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Repository

https://github.com/CY-dev/sparseSVM

Maintainer

Congrui Yi

Last Published

September 26th, 2024

Functions in sparseSVM (1.1-7)

plot.sparseSVM

Plot coefficients from a "sparseSVM" object

predict.cv.sparseSVM

Model predictions based on "cv.sparseSVM" object.

sparseSVM

Fit sparse linear SVM with lasso or elasti-net regularization

predict.sparseSVM

Model predictions based on "sparseSVM" object.

cv.sparseSVM

Cross validation for sparseSVM

sparseSVM-package

Solution Paths for Sparse High-dimensional Support Vector Machine with Lasso or Elastic-Net Regularization

plot.cv.sparseSVM

Plot the cross-validation curve for a "cv.sparseSVM" object