gcdnet: LASSO and (adaptive) Elastic-Net penalized least squares, logistic regression, HHSVM and squared hinge loss SVM using a fast GCD algorithm

This package implements a generalized coordinate descent (GCD) algorithm for computing the solution path of the hybrid Huberized support vector machine (HHSVM) and its generalization, including the elastic net penalized least squares, the elastic net penalized SVM with the squared hinge loss and the elastic net penalized logistic regression.

AuthorYi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication2013-11-19 07:35:15
MaintainerYi Yang <yiyang@umn.edu>

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