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

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) <doi:10.1080/10618600.2016.1256816>.

Version: 1.1-7
Imports: parallel
Published: 2024-09-26
DOI: 10.32614/CRAN.package.sparseSVM
Author: Congrui Yi [aut, cre], Yaohui Zeng [aut]
Maintainer: Congrui Yi <eric.ycr at gmail.com>
License: GPL-3
URL: https://github.com/CY-dev/sparseSVM
NeedsCompilation: yes
CRAN checks: sparseSVM results

Documentation:

Reference manual: sparseSVM.pdf

Downloads:

Package source: sparseSVM_1.1-7.tar.gz
Windows binaries: r-devel: sparseSVM_1.1-7.zip, r-release: sparseSVM_1.1-7.zip, r-oldrel: sparseSVM_1.1-7.zip
macOS binaries: r-release (arm64): sparseSVM_1.1-7.tgz, r-oldrel (arm64): sparseSVM_1.1-7.tgz, r-release (x86_64): sparseSVM_1.1-7.tgz, r-oldrel (x86_64): sparseSVM_1.1-7.tgz
Old sources: sparseSVM archive

Linking:

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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.