Package: penalizedSVM 1.1.4

penalizedSVM: Feature Selection SVM using Penalty Functions

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.

Authors:Natalia Becker, Wiebke Werft, Axel Benner

penalizedSVM_1.1.4.tar.gz
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penalizedSVM_1.1.4.tgz(r-4.4-any)penalizedSVM_1.1.4.tgz(r-4.3-any)
penalizedSVM_1.1.4.tar.gz(r-4.5-noble)penalizedSVM_1.1.4.tar.gz(r-4.4-noble)
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penalizedSVM.pdf |penalizedSVM.html
penalizedSVM/json (API)
NEWS

# Install 'penalizedSVM' in R:
install.packages('penalizedSVM', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/fbertran/penalizedsvm/issues

On CRAN:

15 exports 1 stars 1.27 score 11 dependencies 1 dependents 1 mentions 67 scripts 398 downloads

Last updated 1 years agofrom:a9b3058db4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:.plot.EPSGO.parmsDirectDrHSVMEPSGOExpImprovementfindgacv.scadlpsvmpredict.penSVMprint.penSVMscad_L2.svcscadsvcsim.datasortmatsvmfssvmfs.default

Dependencies:classclustercorpcore1071maptreeMASSmlegpproxyrpartstatmodtgp