Package index • penalizedSVM

All functions

EPSGO(): Fits SVM with variable selection using penalties.

findgacv.scad(): Calculate Generalized Approximate Cross Validation Error Estimation for SCAD SVM model

penalizedSVM-package penalizedSVM: Feature Selection SVM using Penalty Functions

.plot.EPSGO.parms(): Plot Interval Search Plot Visited Points and the Q Values.

predict(<penSVM>): Predict Method for Feature Selection SVM

print(<penSVM>): Print Function for FS SVM

scadsvc(): Fit SCAD SVM model

sim.data(): Simulation of microarray data

sortmat(): Sort matrix or data frame

lpsvm(): Fit L1-norm SVM

svmfs(<default>): Fits SVM with variable selection using penalties.