R: Feature Selection SVM using Penalty Functions

# Feature Selection SVM using Penalty Functions

## Documentation for package ‘penalizedSVM’ version 1.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

penalizedSVM-package | Feature Selection SVM using Penalty Functions
.plot.EPSGO.parms | Plot Interval Search Plot Visited Points and the Q Values.
Direct | Fits SVM with variable selection using penalties.
DrHSVM | Fits SVM with variable selection using penalties.
EPSGO | Fits SVM with variable selection using penalties.
ExpImprovement | Fits SVM with variable selection using penalties.
findgacv.scad | Calculate Generalized Approximate Cross Validation Error Estimation for SCAD SVM model
lpsvm | Fit L1-norm SVM
penalizedSVM | Feature Selection SVM using Penalty Functions
predict.penSVM | Predict Method for Feature Selection SVM
print.penSVM | Print Function for FS SVM
scadsvc | Fit SCAD SVM model
scad_L2.svc | Fits SVM with variable selection using penalties.
sim.data | Simulation of microarray data
sortmat | Sort matrix or data frame
svmfs | Fits SVM with variable selection using penalties.
svmfs.default | Fits SVM with variable selection using penalties.