CRAN/E | gcdnet

gcdnet

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

Installation

About

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.

github.com/emeryyi/gcdnet

Key Metrics

Version 1.0.6
Published 2022-08-14 622 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks gcdnet results

Downloads

Yesterday 19 -30%
Last 7 days 101 +22%
Last 30 days 332 0%
Last 90 days 979 -16%
Last 365 days 3.942 -11%

Maintainer

Maintainer

Yi Yang

yi.yang6@mcgill.ca

Authors

Yi Yang
Yuwen Gu
Hui Zou

Material

ChangeLog
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gcdnet archive

Imports

grDevices
graphics
stats
methods
Matrix

Suggests

testthat

Reverse Imports

higlasso