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MSclust
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]
[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 26 Jun. 2026.
Previous versions and publish date:
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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