Multiple-Scaled Clustering
Overview
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
- 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
Documentation
- 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
Dependencies
Code & Tests
Datasets
People & History
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")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.
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.