Skip to content

qVarSel

1.2Package record

Select Variables for Optimal Clustering

0packages depend
5.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Finding hidden clusters in structured data can be hindered by the presence of masking variables. If not detected, masking variables are used to calculate the overall similarities between units, and therefore the cluster attribution is more imprecise. The algorithm q-vars implements an optimization method to find the variables that most separate units between clusters. In this way, masking variables can be discarded from the data frame and the clustering is more accurate. Tests can be found in Benati et al.(2017) doi:10.1080/01605682.2017.1398206.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

5.4K
CRAN downloads in the past year
Rank #12,634 · ~15/day · ~453/mo
Daily download trend is not available in this view yet.
30030 days
88390 days
5.4K1 year
Compare downloads with other packages →
Also on347 r2u3 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing qVarSel adds 2 packages (2 with compiled code, 2.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, lpSolveAPI 479 KB.

Depends (0)
none
Imports (2)
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2014)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-04-17
  • 1.2Latest
    record
    2025-04-17 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2024-12-27
    issues were not corrected in time
  • unarchivedReturned to CRAN
    2024-11-28
  • 1.1
    record
    2024-11-28 · 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
  • archivedRemoved from CRAN
    2020-08-03
    check problems were not corrected in time
  • 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 4 earlier eventsHide 4 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    record
    2014-06-12
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-06-12
Total releases
3 / 12 yrs
License
GPL (>= 2) OSI
Download size
7.6 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("qVarSel")
Benati, S. (2025). qVarSel: Select Variables for Optimal Clustering (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.qVarSel

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 qVarSel version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy