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

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.


Reference manual

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install.packages("gcdnet")

1.0.6 by Yi Yang, 4 years ago


https://github.com/emeryyi/gcdnet


Browse source code at https://github.com/cran/gcdnet


Authors: Yi Yang <[email protected]> , Yuwen Gu <[email protected]> , Hui Zou <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports grDevices, graphics, stats, methods, Matrix

Suggests testthat


Imported by SIS.


See at CRAN