smac: Sparse Multi-category Angle-Based Large-Margin Classifiers

This package provides a solution path for L1-penalized angle-based classification. Three loss functions are implemented in smac, including the deviance loss in logistic regression, the exponential loss in boosting, and the proximal support vector machine loss.

Version: 1.0
Published: 2014-11-01
Author: Chong Zhang, Guo Xian Yau, Yufeng Liu
Maintainer: Chong Zhang <chong.zhang at uwaterloo.ca>
License: GPL-2
NeedsCompilation: yes
CRAN checks: smac results

Downloads:

Reference manual: smac.pdf
Package source: smac_1.0.tar.gz
Windows binaries: r-devel: smac_1.0.zip, r-release: smac_1.0.zip, r-oldrel: smac_1.0.zip
OS X El Capitan binaries: r-release: smac_1.0.tgz
OS X Mavericks binaries: r-oldrel: smac_1.0.tgz

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