R Observatory: Metrics for sparseSVM version 1.1-7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sparseSVM

1.1-7

Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization

1packages depend

2.9Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Congrui YiFirst published 2016-03-223 releasesCRAN page ↗GitHub ↗

Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) doi:10.1080/10618600.2016.1256816.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("sparseSVM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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

Development version from CY-dev/sparseSVM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-sparsesvm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-sparseSVM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-sparseSVM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 2.1 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 94%
Return-value docs: 100%
References docs: 14%

Downloads

2.9K

CRAN downloads in the past year

Rank #16,450 · ~8/day · ~244/mo

Releases R versions

Daily download trend is not available in this view yet.

14530 days

66590 days

2.9K1 year

Compare downloads with other packages →

Also on388 r2u14 autocran

Repository

GitHub ↗ cy-dev/sparsesvm

6Stars

3Forks

0Open issues

0Open PRs

0Releases

122Commits

8Contributors

lassoelasticnetsvmmachine-learning-algorithmshigh-dimensionalregularization-pathscran

122 commits · Last activity 2024-11-09

Stars over time

2022-02-12 · 62026-07-07 · 6

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/cy-dev/sparsesvm on 2026-08-23.

Continuous integration (1)

Travis CI

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

parallel

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

pye

Code & Tests

People & History

People (2)

Maintainer (1)

Congrui Yi

Author, Maintainer

Authors (2)

Congrui Yi

Author, Maintainer

Yaohui Zeng

Author

Package Timeline

3 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
1.1-7Latest
2024-09-26 · current release · diff ↗
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
R
R 3.6.0 released · 2019-04-26
1.1-6
2018-06-02 · diff ↗
unarchivedReturned to CRAN
2018-06-02
archivedRemoved from CRAN
2018-06-02
check problems were not corrected despite reminders
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.1-2
2016-03-22

Show 1 earlier events

R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-03-22
Total releases: 3 / 10 yrs
License: GPL-3 OSI
Download size: 18 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparseSVM")

Format

Yi, C., & Zeng, Y. (2024). sparseSVM: Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization (Version 1.1-7) [Computer software]. https://doi.org/10.32614/CRAN.package.sparseSVM

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sparseSVM version 1.1-7 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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