| penalizedSVM-package | Feature Selection SVM using Penalty Functions |
| Direct | Fits SVM mit variable selection using penalties. |
| DrHSVM | Fits SVM mit variable selection using penalties. |
| EPSGO | Fits SVM mit variable selection using penalties. |
| ExpImprovement | Fits SVM mit 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 mit variable selection using penalties. |
| sim.data | Simulation of microarray data |
| sortmat | Sort matrix or data frame |
| svmfs | Fits SVM mit variable selection using penalties. |
| svmfs.default | Fits SVM mit variable selection using penalties. |