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MSclust

1.0.4Package record

Multiple-Scaled Clustering

0packages depend
6.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
33%2 run in a plain check · 4 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
57%

Downloads

6.9K
CRAN downloads in the past year
Rank #8,101 · ~19/day · ~575/mo
Daily download trend is not available in this view yet.
43430 days
1.1K90 days
6.9K1 year
Compare downloads with other packages →
Also on86 r2u4 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing MSclust adds 43 packages (19 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2022), Copyright holder
Releases (5)

Pick two releases to compare their code metrics.

  • 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
    record
    2024-04-22 · current release · diff ↗
  • 1.0.3
    record
    2023-05-05 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    record
    2022-08-31 · diff ↗
  • 1.0.1
    record
    2022-06-16 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0
    record
    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

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 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 MSclust version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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