The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm

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Documentation for package ‘gcdnet’ version 1.0.6

• DESCRIPTION file.

Help Pages

coef	Extract Model Coefficients
coef.cv.gcdnet	Get coefficients or make coefficient predictions from a "cv.gcdnet" object.
coef.erpath	Get coefficients or make coefficient predictions from a "gcdnet" object.
coef.gcdnet	Get coefficients or make coefficient predictions from a "gcdnet" object.
coef.hsvmpath	Get coefficients or make coefficient predictions from a "gcdnet" object.
coef.logitpath	Get coefficients or make coefficient predictions from a "gcdnet" object.
coef.lspath	Get coefficients or make coefficient predictions from a "gcdnet" object.
coef.sqsvmpath	Get coefficients or make coefficient predictions from a "gcdnet" object.
cv.erpath	Cross-validation for gcdnet
cv.gcdnet	Cross-validation for gcdnet
cv.hsvmpath	Cross-validation for gcdnet
cv.logitpath	Cross-validation for gcdnet
cv.lspath	Cross-validation for gcdnet
cv.sqsvmpath	Cross-validation for gcdnet
FHT	FHT data introduced in Friedman et al. (2010).
gcdnet	Fits the regularization paths for large margin classifiers
plot.cv.gcdnet	Plot the cross-validation curve produced by cv.gcdnet
plot.gcdnet	Plot coefficients from a "gcdnet" object
predict	Model predictions
predict.cv.gcdnet	Make predictions from a "cv.gcdnet" object.
predict.erpath	Make predictions from a "gcdnet" object
predict.gcdnet	Make predictions from a "gcdnet" object
predict.hsvmpath	Make predictions from a "gcdnet" object
predict.logitpath	Make predictions from a "gcdnet" object
predict.lspath	Make predictions from a "gcdnet" object
predict.sqsvmpath	Make predictions from a "gcdnet" object
print.gcdnet	Print a gcdnet object