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smac (version 1.0)

Sparse Multi-category Angle-Based Large-Margin Classifiers

Description

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.

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Version

Install

install.packages('smac')

Monthly Downloads

10

Version

1.0

License

GPL-2

Maintainer

Chong Zhang

Last Published

November 1st, 2014

Functions in smac (1.0)

ex1.data

Toy example data set used in smac
predict.smac

A function that provides class label prediction and class conditional probability estimation for objects returned by the "smac" function.
predict.cvsmac

A function that provides class label prediction and class conditional probability estimation for objects returned by the "cvsmac" function.
cvsmac

A cross validation function for smac.
smac

Classification function that provides solution path to Multicategory Angle-based large-margin Classifiers (MAC) with L1 penalty