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]

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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'))

Peer review:

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

On CRAN:

elasticnethigh-dimensionallassomachine-learning-algorithmsregularization-pathssvm

4.58 score 6 stars 14 scripts 312 downloads 1 mentions 2 exports 0 dependencies

Last updated 14 days agofrom:9fe031c420. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-win-x86_64OKNov 09 2024
R-4.5-linux-x86_64OKNov 09 2024
R-4.4-win-x86_64OKNov 09 2024
R-4.4-mac-x86_64OKNov 09 2024
R-4.4-mac-aarch64OKNov 09 2024
R-4.3-win-x86_64OKNov 09 2024
R-4.3-mac-x86_64OKNov 09 2024
R-4.3-mac-aarch64OKNov 09 2024

Exports:cv.sparseSVMsparseSVM

Dependencies: