penalizedSVM v1.1.2

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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.

Functions in penalizedSVM

Name Description
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.
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Details

Type Package
Date 2018-07-13
License GPL (>= 2)
LazyLoad yes
Packaged 2018-07-26 07:30:47 UTC; BeckeN3
Repository CRAN
Date/Publication 2018-07-26 09:42:04
RoxygenNote 6.0.1
NeedsCompilation no

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