Skip to content

MSclust

1.0.4

Multiple-Scaled Clustering

0packages depend
7.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Cristina TortoraFirst published 2022-04-085 releasesCRAN page ↗

Model based clustering using the multivariate multiple Scaled t (MST) and multivariate multiple scaled contaminated normal (MSCN) distributions. The MST is an extension of the multivariate Student-t distribution to include flexible tail behaviors, Forbes, F. & Wraith, D. (2014) doi:10.1007/s11222-013-9414-4. The MSCN represents a heavy-tailed generalization of the multivariate normal (MN) distribution to model elliptical contoured scatters in the presence of mild outliers (also referred to as "bad" points) and automatically detect bad points, Punzo, A. & Tortora, C. (2021) doi:10.1177/1471082X19890935.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 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
100%
Documented parameters
100%
Return-value docs
100%
References docs
57%

Downloads

7.3K
CRAN downloads in the past year
Rank #5,853 · ~20/day · ~605/mo
Daily download trend is not available in this view yet.
24530 days
1.4K90 days
7.3K1 year
Compare downloads with other packages →
Also on117 r2u14 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (3)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

5 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
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.4Latest
    2024-04-22 · current release · diff ↗
  • 1.0.3
    2023-05-05 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    2022-08-31 · diff ↗
  • 1.0.1
    2022-06-16 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0
    2022-04-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-04-08
Total releases
5 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5
Bundled data
9.2 KB / 1 file
Download size
23 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MSclust")
Tortora, C., Punzo, A., & Tran, L. (2024). MSclust: Multiple-Scaled Clustering (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.MSclust

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 MSclust version 1.0.4 [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.

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