gcdnet: LASSO and (adaptive) Elastic-Net penalized least squares, logistic regression, HHSVM and squared hinge loss SVM using a fast GCD algorithm
Version 1.0.4

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.

Getting started

Package details

AuthorYi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication2013-11-19 07:35:15
MaintainerYi Yang <yiyang@umn.edu>
LicenseGPL-2
Version1.0.4
URL http://code.google.com/p/gcdnet/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gcdnet")

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gcdnet documentation built on May 29, 2017, 1:42 p.m.