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LiblineaR

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Linear Predictive Models Based on the LIBLINEAR C/C++ Library

View on CRAN: Click here

Download and install LiblineaR package within the R console
Install from CRAN:

 install.packages("LiblineaR")

Install from Github:

 library("remotes")

                        install_github("cran/LiblineaR")

Install by package version:

 library("remotes")

                        install_version("LiblineaR", "2.10-24")

Attach the package and use:

 library("LiblineaR")

Maintained by
Thibault Helleputte
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2010-05-30

Latest Update: 2024-09-13

Description:

A wrapper around the LIBLINEAR C/C++ library for machine learning (available at ). LIBLINEAR is a simple library for solving large-scale regularized linear classification and regression. It currently supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as L1-regularized classification (such as L2-loss linear SVM and logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries.

How to cite:

Thibault Helleputte (2010). LiblineaR: Linear Predictive Models Based on the LIBLINEAR C/C++ Library. R package version 2.10-24, https://cran.r-project.org/web/packages/LiblineaR. Accessed 06 Aug. 2026.

Previous versions and publish date:

1.51-0 (2010-05-30 15:37), 1.51-1 (2010-05-30 19:57), 1.51-2 (2010-06-01 08:51), 1.51-3 (2010-06-10 16:05), 1.80-0 (2011-04-11 21:25), 1.80-1 (2011-04-12 11:40), 1.80-2 (2011-04-13 16:23), 1.80-4 (2011-04-23 22:54), 1.80-6 (2013-03-26 17:49), 1.80-7 (2013-06-24 17:41), 1.80-10 (2014-09-16 11:57), 1.94-2 (2015-02-04 08:28), 2.10-8 (2017-02-13 12:58), 2.10-12 (2021-03-02 07:20), 2.10-22 (2022-12-03 09:22), 2.10-23 (2023-12-11 09:30), (2026-07-09 08:08)

Other packages that cited LiblineaR R package

View LiblineaR citation profile

Other R packages that LiblineaR depends, imports, suggests or enhances

View LiblineaR dependency map

Complete documentation for LiblineaR

View documentation PDF

Functions, R codes and Examples using the LiblineaR R package

Some associated functions: LiblineaR . heuristicC . predict.LiblineaR .
Some associated R codes: LiblineaR.R . heuristicC.R . predict.R . Full LiblineaR package functions and examples

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