cv.l1svm                Perform CV to choose the optimal t for three
                        L1-penalized Support Vector Machine models
l1.fdsvm.initialization
                        Finding the initial solution for L1-penalized
                        Fraud Detection Support Vector Machine
l1.fdsvmpath            Fit the entire solution paths for L1-penalized
                        Fraud Detection Support Vector Machine
l1.rocsvmpath           Fit the entire solution paths for L1-penalized
                        Receiver Operating Characteristic Support
                        Vector Machine
l1.svm.initialization   Finding the initial solution for L1-penalized
                        SVM
l1.svmpath              Fit the entire solution paths for L1-penalized
                        Support Vector Machine
l1svmpath               The entire regularization path for L1-penalized
                        Support Vector Machine models
lpfit.l1svm             Fit the L1-penalized Support Vector Machine
                        models at a specific value of t using the the
                        'lp' function
plot.l1svmpath          Plot the Entire Regularization Paths for
                        L1-penalized SVM models
predict.l1svmpath       Predict the class label or classification score
print.cv.l1svm          Print Cross-Validation Results
