hqreg: Regularization Paths for Lasso or Elastic-Net Penalized Huber Loss Regression and Quantile Regression

Efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss.

Version: 1.4
Imports: parallel
Published: 2017-02-16
Author: Congrui Yi
Maintainer: Congrui Yi <congrui-yi at uiowa.edu>
License: GPL-3
URL: http://arxiv.org/abs/1509.02957
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: hqreg results

Documentation:

Reference manual: hqreg.pdf

Downloads:

Package source: hqreg_1.4.tar.gz
Windows binaries: r-devel: hqreg_1.4.zip, r-devel-UCRT: hqreg_1.4.zip, r-release: hqreg_1.4.zip, r-oldrel: hqreg_1.4.zip
macOS binaries: r-release (arm64): hqreg_1.4.tgz, r-release (x86_64): hqreg_1.4.tgz, r-oldrel: hqreg_1.4.tgz
Old sources: hqreg archive

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