LASSO and Elastic Net (Adaptive) Penalized Least Squares, Logistic Regression, HHSVM, Squared Hinge SVM and Expectile Regression using a Fast GCD Algorithm

Documentation for package ‘gcdnet’ version 1.0.5

coef.cv.gcdnet	get coefficients or make coefficient predictions from a "cv.gcdnet" object.
coef.erpath	get coefficients or make coefficient predictions from an "gcdnet" object.
coef.gcdnet	get coefficients or make coefficient predictions from an "gcdnet" object.
coef.hsvmpath	get coefficients or make coefficient predictions from an "gcdnet" object.
coef.logitpath	get coefficients or make coefficient predictions from an "gcdnet" object.
coef.lspath	get coefficients or make coefficient predictions from an "gcdnet" object.
coef.sqsvmpath	get coefficients or make coefficient predictions from an "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.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