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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>.

Versions across snapshots

VersionRepositoryFileSize
1.1-7 rolling linux/jammy R-4.5 sparseSVM_1.1-7.tar.gz 62.4 KiB
1.1-7 rolling linux/noble R-4.5 sparseSVM_1.1-7.tar.gz 62.6 KiB
1.1-7 rolling source/ R- sparseSVM_1.1-7.tar.gz 18.5 KiB
1.1-7 latest linux/jammy R-4.5 sparseSVM_1.1-7.tar.gz 62.4 KiB
1.1-7 latest linux/noble R-4.5 sparseSVM_1.1-7.tar.gz 62.6 KiB
1.1-7 latest source/ R- sparseSVM_1.1-7.tar.gz 18.5 KiB
1.1-7 2026-04-26 source/ R- sparseSVM_1.1-7.tar.gz 18.5 KiB
1.1-7 2026-04-23 source/ R- sparseSVM_1.1-7.tar.gz 18.5 KiB
1.1-7 2026-04-09 windows/windows R-4.5 sparseSVM_1.1-7.zip 69.4 KiB
1.1-7 2025-04-20 source/ R- sparseSVM_1.1-7.tar.gz 18.5 KiB

Dependencies (latest)

Imports