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SSOSVM

0.2.2

Stream Suitable Online Support Vector Machines

0packages depend
2.4Kdownloads / year
90.0%test coverage
13/13checks pass

Overview

About
Maintained by Andrew Thomas JonesFirst published 2019-05-062 releasesCRAN page ↗

Soft-margin support vector machines (SVMs) are a common class of classification models. The training of SVMs usually requires that the data be available all at once in a single batch, however the Stochastic majorization-minimization (SMM) algorithm framework allows for the training of SVMs on streamed data instead Nguyen, Jones & McLachlan(2018)doi:10.1007/s42081-018-0001-y. This package utilizes the SMM framework to provide functions for training SVMs with hinge loss, squared-hinge loss, and logistic loss.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.68
90.0%
Coverage · measured lines
100%
Documentation · exports
2
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 131 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,595 · ~6/day · ~197/mo
Daily download trend is not available in this view yet.
15230 days
61290 days
2.4K1 year
Compare downloads with other packages →
Also on539 r2u17 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Listed in earlier versions (3)
no longer listed · 0.2.2
no longer listed · 0.2.2
no longer listed · 0.2.2
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2Latest
    2025-09-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.1
    2019-05-06
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-06
Total releases
2 / 7 yrs
License
GPL-3 OSI
Download size
404 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SSOSVM")
Jones, A. T., McLachlan, G. J., & Nguyen, H. D. (2025). SSOSVM: Stream Suitable Online Support Vector Machines (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SSOSVM

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 SSOSVM version 0.2.2 [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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