Regularization Paths of L1-Penalized SVMs

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Documentation for package ‘l1penSVMs’ version 0.1.0

• DESCRIPTION file

Help Pages

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