R: 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

# 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

## 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