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penalizedSVM (version 1.1.4)

penalizedSVM-package: Feature Selection SVM using Penalty Functions

Description

Feature Selection SVM using penalty functions. The smoothly clipped absolute deviation (SCAD) and L1-norm penalties are availible up to now. Other functions will be implemented in the near feature.

Arguments

Author

Natalia Becker, Axel Benner, Wiebke Werft

Maintainer: Frederic Bertrand (frederic.bertrand@utt.fr)

Details

Package:penaltySVM
Type:Package
Version:1.1.3
Date:2022-05-02
License:GPL-2
LazyLoad:yes

The main function is svmfs, see the documentation file with examples

References

Zhang, H. H., Ahn, J., Lin, X. and Park, C. (2006). Gene selection using support vector machines with nonconvex penalty. Bioinformatics, 22, pp. 88-95.

Fung, G. and Mangasarian, O. L. (2004). A feature selection newton method for support vector machine classification. Computational Optimization and Applications Journal ,28.2 , pp. 185-202.