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Support Vector Machine (SVM) classification with simultaneous feature selection using penalty functions is implemented. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
| Version: | 1.1.4 |
| Depends: | e1071, mlegp, MASS |
| Imports: | corpcor, statmod, tgp |
| Published: | 2023-03-23 |
| Author: | Natalia Becker, Wiebke Werft, Axel Benner |
| Maintainer: | Frederic Bertrand <frederic.bertrand at utt.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | penalizedSVM results |
| Reference manual: | penalizedSVM.pdf |
| Package source: | penalizedSVM_1.1.4.tar.gz |
| Windows binaries: | r-devel: penalizedSVM_1.1.4.zip, r-release: penalizedSVM_1.1.4.zip, r-oldrel: penalizedSVM_1.1.4.zip |
| macOS binaries: | r-release (arm64): penalizedSVM_1.1.4.tgz, r-oldrel (arm64): penalizedSVM_1.1.4.tgz, r-release (x86_64): penalizedSVM_1.1.4.tgz, r-oldrel (x86_64): penalizedSVM_1.1.4.tgz |
| Old sources: | penalizedSVM archive |
| Reverse imports: | c060 |
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