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MSclust  

Multiple-Scaled Clustering
View on CRAN: Click here


Download and install MSclust package within the R console
Install from CRAN:
install.packages("MSclust")

Install from Github:
library("remotes")
install_github("cran/MSclust")

Install by package version:
library("remotes")
install_version("MSclust", "1.0.4")



Attach the package and use:
library("MSclust")
Maintained by
Cristina Tortora
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-08
Latest Update: 2024-04-22
Description:
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) . 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) .
How to cite:
Cristina Tortora (2022). MSclust: Multiple-Scaled Clustering. R package version 1.0.4, https://cran.r-project.org/web/packages/MSclust. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.1 (2022-06-16 00:50), 1.0.2 (2022-08-31 15:20), 1.0.3 (2023-05-05 01:00), 1.0 (2022-04-08 10:52)
Other packages that cited MSclust R package
View MSclust citation profile
Other R packages that MSclust depends, imports, suggests or enhances
Complete documentation for MSclust
Functions, R codes and Examples using the MSclust R package
Some associated functions: mscn . mst . plot.MSclust . rmscn . rmst . sim . summary.MSclust . 
Some associated R codes: MSmixt.R . PLRfactorization.R . extra.R .  Full MSclust package functions and examples
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