Package: sparseSVM 1.1-7

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>.

Authors:Congrui Yi [aut, cre], Yaohui Zeng [aut]

sparseSVM_1.1-7.tar.gz
sparseSVM_1.1-7.zip(r-4.5)sparseSVM_1.1-7.zip(r-4.4)sparseSVM_1.1-7.zip(r-4.3)
sparseSVM_1.1-7.tgz(r-4.5-x86_64)sparseSVM_1.1-7.tgz(r-4.5-arm64)sparseSVM_1.1-7.tgz(r-4.4-x86_64)sparseSVM_1.1-7.tgz(r-4.4-arm64)sparseSVM_1.1-7.tgz(r-4.3-x86_64)sparseSVM_1.1-7.tgz(r-4.3-arm64)
sparseSVM_1.1-7.tar.gz(r-4.5-noble)sparseSVM_1.1-7.tar.gz(r-4.4-noble)
sparseSVM_1.1-7.tgz(r-4.4-emscripten)sparseSVM_1.1-7.tgz(r-4.3-emscripten)
sparseSVM.pdf |sparseSVM.html✨
sparseSVM/json (API)

# Install 'sparseSVM' in R:
install.packages('sparseSVM', repos = c('https://cy-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cy-dev/sparsesvm/issues

On CRAN:

Conda:

elasticnethigh-dimensionallassomachine-learning-algorithmsregularization-pathssvm

4.58 score 6 stars 14 scripts 277 downloads 1 mentions 2 exports 0 dependencies

Last updated 5 months agofrom:9fe031c420. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-win-x86_64OKMar 09 2025
R-4.5-mac-x86_64OKMar 09 2025
R-4.5-mac-aarch64OKMar 09 2025
R-4.5-linux-x86_64OKMar 09 2025
R-4.4-win-x86_64OKMar 09 2025
R-4.4-mac-x86_64OKMar 09 2025
R-4.4-mac-aarch64OKMar 09 2025
R-4.4-linux-x86_64OKMar 09 2025
R-4.3-win-x86_64OKMar 09 2025
R-4.3-mac-x86_64OKMar 09 2025
R-4.3-mac-aarch64OKMar 09 2025

Exports:cv.sparseSVMsparseSVM

Dependencies: