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sparseSVM

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

v1.1-7 · Sep 26, 2024 · GPL-3

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) <doi:10.1080/10618600.2016.1256816>.

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NOTE r-devel-linux-x86_64-fedora-clang

compiled code

File ‘sparseSVM/libs/sparseSVM.so’:
  Found no call to: ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
NOTE r-devel-linux-x86_64-fedora-gcc

compiled code

File ‘sparseSVM/libs/sparseSVM.so’:
  Found no call to: ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

compiled code

File ‘sparseSVM/libs/sparseSVM.so’:
  Found no call to: ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
NOTE r-devel-linux-x86_64-fedora-gcc

compiled code

File ‘sparseSVM/libs/sparseSVM.so’:
  Found no call to: ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

Reverse Dependencies (1)

imports

pye

Dependency Network

Dependencies Reverse dependencies pye sparseSVM

Version History

4 tracked
new 1.1-7 Mar 10, 2026
updated 1.1-7 ← 1.1-6 diff Sep 25, 2024
updated 1.1-6 ← 1.1-2 diff Jun 1, 2018
new 1.1-2 Mar 21, 2016