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


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Documentation for package ‘gcdnet’ version 1.0.5

Help Pages

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