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penalizedSVM (version 1.1.2)

Feature Selection SVM using Penalty Functions

Description

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.

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Version

Install

install.packages('penalizedSVM')

Monthly Downloads

260

Version

1.1.2

License

GPL (>= 2)

Maintainer

Natalia Becker

Last Published

July 26th, 2018

Functions in penalizedSVM (1.1.2)

lpsvm

Fit L1-norm SVM
penalizedSVM-package

Feature Selection SVM using Penalty Functions
scadsvc

Fit SCAD SVM model
sim.data

Simulation of microarray data
predict

Predict Method for Feature Selection SVM
penaltySVM-internal

Internal penaltySVM objects
sortmat

Sort matrix or data frame
print

Print Function for FS SVM
EPSGO

Fits SVM mit variable selection using penalties.
findgacv.scad

Calculate Generalized Approximate Cross Validation Error Estimation for SCAD SVM model
svmfs

Fits SVM mit variable selection using penalties.