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LiblineaR

2.10-24

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

9packages depend
98.2Kdownloads / year
82.8%test coverage
13/13checks pass

Overview

About
Maintained by Thibault HelleputteFirst published 2010-05-3017 releasesCRAN page ↗

A wrapper around the LIBLINEAR C/C++ library for machine learning (available at https://www.csie.ntu.edu.tw/~cjlin/liblinear/). 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.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.24
82.8%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

98.2K
CRAN downloads in the past year
Rank #1,519 · ~269/day · ~8.2K/mo
Daily download trend is not available in this view yet.
5.1K30 days
17.6K90 days
98.2K1 year
Compare downloads with other packages →
Also on607 r2u11 autocran6.5K conda_forge50 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (1)
methods
LinkingTo (0)
none
Suggests (2)
SparseMMatrix
Enhances (0)
none
Reverse dependencies
9direct
0indirect

Code & Tests

People & History

People (3)
Maintainer (1)
Maintainer, Author, Copyright holder
Authors (3)
Maintainer, Author, Copyright holder
Author · added in 2.10-12
Author · added in 2.10-12
Copyright holders (1)
Maintainer, Author, Copyright holder
Listed in earlier versions (2)
Package Timeline

17 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.10-24Latest
    2024-09-13 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.10-23
    2023-12-11 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.10-22
    2022-12-03 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.10-12
    2021-03-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.10-8
    2017-02-13 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 20 earlier events
  • R
    R 3.2.0 released · 2015-04-16
  • 1.94-2
    2015-02-04 · diff ↗
  • 1.80-10
    2014-09-16 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.80-7
    2013-06-24 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.80-6
    2013-03-26 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • 1.80-4
    2011-04-23 · diff ↗
  • 1.80-2
    2011-04-13 · diff ↗
  • R
    R 2.13.0 released · 2011-04-13
  • 1.80-1
    2011-04-12 · diff ↗
  • 1.80-0
    2011-04-11 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • 1.51-3
    2010-06-10 · diff ↗
  • 1.51-2
    2010-06-01 · diff ↗
  • 1.51-1
    2010-05-30 · diff ↗
  • 1.51-0
    2010-05-30
  • R
    R 2.11.0 released · 2010-04-22

Package metadata

First published
2010-05-30
Total releases
17 / 16 yrs
License
GPL-2 OSI
Download size
47 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LiblineaR")
Helleputte, T., Gramme, P., & Paul, J. (2024). LiblineaR: Linear Predictive Models Based on the LIBLINEAR C/C++ Library (Version 2.10-24) [Computer software]. https://doi.org/10.32614/CRAN.package.LiblineaR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LiblineaR version 2.10-24 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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