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MSclust: Multiple-Scaled Clustering
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>.
| Version: |
1.0.4 |
| Depends: |
R (≥ 3.5) |
| Imports: |
gtools, Matrix, mclust, mnormt, mvtnorm, psych, cluster, ggplot2, GGally |
| Published: |
2024-04-22 |
| DOI: |
10.32614/CRAN.package.MSclust |
| Author: |
Cristina Tortora 
[aut, cre, cph],
Antonio Punzo
[aut],
Louis Tran [aut] |
| Maintainer: |
Cristina Tortora <grikris1 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| In views: |
Cluster |
| CRAN checks: |
MSclust results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.