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hetcorFS

1.0.1

Unsupervised Feature Selection using the Heterogeneous Correlation Matrix

0packages depend
1.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Cristina TortoraFirst published 2025-10-282 releasesCRAN page ↗

Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features, and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review doi:10.1111/insr.70016. This work was supported by the National Science foundation NSF Grant N 2209974 (Tortora) and by the Italian Ministry of University and Research (MUR) under the PRIN 2022 grant number 2022XRHT8R (CUP: E53D23005950006), as part of ‘The SMILE Project: Statistical Modelling and Inference to Live the Environment’, funded by the European Union – Next Generation EU (Punzo).

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
80%
Documented parameters
97%
Return-value docs
100%
References docs
83%

Downloads

1.6K
CRAN downloads in the past year
Rank #23,203 · ~4/day · ~135/mo
Daily download trend is not available in this view yet.
12030 days
43490 days
1.6K1 year
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Also on70 r2u9 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (5)
polycordplyrclustergraphicspsych
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Funder
Authors (3)
Author, Maintainer, Funder
Funders (1)
Author, Maintainer, Funder
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
  • 1.0.1Latest
    2025-11-24 · current release · diff ↗
  • 1.0
    2025-10-28
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-28
Total releases
2 / 1 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
6.9 KB / 1 file
Download size
16 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hetcorFS")
Tortora, C., Madhvani, S., & Punzo, A. (2025). hetcorFS: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.hetcorFS

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 hetcorFS version 1.0.1 [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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