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LiblineaR

2.10-26Package record

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

3packages dependsuggested by 8
83.7Kdownloads / year
93.6%test coverage
13/13flavors OK

Overview

About

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: 2.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.10-26
READMEYes · 742 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · computed when R runs itWebsiteYes
Help pages
3
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

83.7K
CRAN downloads in the past year
Rank #1,556 · ~229/day · ~7K/mo
Daily download trend is not available in this view yet.
5.2K30 days
15K90 days
83.7K1 year
Compare downloads with other packages →
Also on838 r2u5 autocran7.1K conda_forge119 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing LiblineaR adds no packages beyond those that come with R.

Depends (0)
none
Imports (1)
methods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Depends 1 · Imports 2
Suggested by 8
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (4)
Maintainer since 1.51-0 (2010), Author, Copyright holder
Author · added in 1.80-10
Author · added in 2.10-12
Copyright holder · added in 2.10-25
Author of the bundled LIBLINEAR C/C++ code (src/linear.cpp, linear.h, tron.cpp, tron.h); see LICENSE.note
Listed in earlier versions (1)
Jerome Paul
no longer listed · 2.10-8
Releases (19)

Pick two releases to compare their code metrics.

  • 2.10-26Latest
    record
    2026-09-24 · current release · diff ↗
  • 2.10-25
    record
    2026-09-11 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.10-24
    record
    2024-09-13 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.10-23
    record
    2023-12-11 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.10-22
    record
    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
    record
    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
Show 22 earlier eventsHide 22 earlier events

Package metadata

First published
2010-05-30
Total releases
19 / 16 yrs
License
GPL-2 OSI
Download size
76 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LiblineaR")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 2.10-26 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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