R Observatory: Metrics for liquidSVM version 1.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-01-27. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.2.4, its last release before removal.

liquidSVM

1.2.4Package record

A Fast and Versatile SVM Package

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Philipp ThomannCRAN page ↗GitHub ↗

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/liquidSVM/liquidSVM_1.2.4.tar.gz"
pkgFile <- "liquidSVM_1.2.4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.2.4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("liquidSVM/liquidSVM")

Development version from liquidSVM/liquidSVM. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.4

READMEYes · 120 wordsVignettesYes · 2 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 32includes a package overview page
Examples that run: 23%5 run in a plain check · 17 never run
Exported functions with examples: 75%
Documented parameters: 96%
Return-value docs: 79%
Help pages citing references: 3%

How these are measured

Downloads

liquidSVM Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on8 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (2)

R >= 2.12.0methods

Imports (0)

none

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown deldir testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ingo Steinwart

Contributor

Philipp Thomann

Contributor

Maintainer since 1.0.0 (2017)

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2021-01-27
check problems were not corrected in time
R
R 4.0.0 released · 2020-04-24
1.2.4
record
2019-09-14 · diff ↗
unarchivedReturned to CRAN
2019-09-03
1.2.3
record
2019-09-03 · diff ↗
archivedRemoved from CRAN
2019-04-26
now fails its checks
R
R 3.6.0 released · 2019-04-26
orphanedOrphaned by its maintainer
2019-03-02
check issues were not corrected despite reminder
1.2.2.1
record
2019-03-02 · diff ↗
1.2.2
record
2019-01-10 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.2.1
record
2017-07-19 · diff ↗
1.2.0
record
2017-07-15 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.1
record
2017-03-02 · diff ↗

Show 2 earlier eventsHide 2 earlier events

1.0.0
record
2017-02-24
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-02-24
Total releases: 8 / 9 yrs
License: AGPL-3 OSI
Copyright: Ingo Steinwart, Philipp Thomann, Mohammad Farooq
Minimum R: ≥ 2.12.0
Bundled data: 275 KB / 6 files

Cite

Cite this package

Run in R for the authors' entry:

citation("liquidSVM")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for liquidSVM version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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