LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library

This R package is a wrapper around the liblinear C/C++ library for machine learning. It allows the estimation of predictive linear models such as L1- or L2-regularized logistic regression, L1- or L2-regularized L2-loss support vector classification, L2-regularized L1-loss support vector classification and multi-class support vector classification. The estimation of the models is particularly fast as compared to other libraries. For more information on the C/C++ liblinear library itself, refer to R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A Library for Large Linear Classification, Journal of Machine Learning Research 9(2008), 1871-1874, available at http://www.csie.ntu.edu.tw/~cjlin/liblinear . The two first blocks of the package version indicates which version of liblinear is currently supported. For example: 1.32-14 means that the package supports the version 1.32 of liblinear.

Version: 1.51-3
Published: 2010-06-10
Author: Thibault Helleputte
Maintainer: Thibault Helleputte <thelleputte at gmail.com>
License: GPL-2
URL: http://www.thibaulthelleputte.be
CRAN checks: LiblineaR results

Downloads:

Package source: LiblineaR_1.51-3.tar.gz
MacOS X binary: LiblineaR_1.51-3.tgz
Windows binary: not available, see ReadMe.
Reference manual: LiblineaR.pdf
Old sources: LiblineaR archive