gcdnet (version 1.0.6)

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

Description

Implements a generalized coordinate descent (GCD) algorithm for computing the solution paths of the hybrid Huberized support vector machine (HHSVM) and its generalizations. Supported models include the (adaptive) LASSO and elastic net penalized least squares, logistic regression, HHSVM, squared hinge loss SVM and expectile regression.

Copy Link

Version

Down Chevron

Install

install.packages('gcdnet')

Monthly Downloads

319

Version

1.0.6

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

August 14th, 2022

Functions in gcdnet (1.0.6)