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dcsvm

0.0.1Package record

Density Convoluted Support Vector Machines

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements an efficient algorithm for solving sparse-penalized support vector machines with kernel density convolution. This package is designed for high-dimensional classification tasks, supporting lasso (L1) and elastic-net penalties for sparse feature selection and providing options for tuning kernel bandwidth and penalty weights. The 'dcsvm' is applicable to fields such as bioinformatics, image analysis, and text classification, where high-dimensional data commonly arise. Learn more about the methodology and algorithm at Wang, Zhou, Gu, and Zou (2023) doi:10.1109/TIT.2022.3222767.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.1
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
62%
Return-value docs
100%
Help pages citing references
17%

Downloads

2.1K
CRAN downloads in the past year
Rank #21,786 · ~6/day · ~175/mo
Daily download trend is not available in this view yet.
21030 days
61590 days
2.1K1 year
Compare downloads with other packages →
Also on362 r2u7 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

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

Depends (1)
Matrix
Imports (4)
grDevicesgraphicsmethodsstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.0.1 (2025)
Author
Author
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0.1Latest
    2025-01-10 · current release
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-10
Total releases
1 / 1 yrs
License
GPL-2 OSI
Bundled data
920 KB / 1 file
Download size
958 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("dcsvm")

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

It points to 10.1109/tit.2022.3222767.

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 dcsvm version 0.0.1 [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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