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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 |
Maintainer: | Cristina Tortora <grikris1 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | MSclust results |
Reference manual: | MSclust.pdf |
Package source: | MSclust_1.0.4.tar.gz |
Windows binaries: | r-devel: MSclust_1.0.4.zip, r-release: MSclust_1.0.4.zip, r-oldrel: MSclust_1.0.4.zip |
macOS binaries: | r-release (arm64): MSclust_1.0.4.tgz, r-oldrel (arm64): MSclust_1.0.4.tgz, r-release (x86_64): MSclust_1.0.4.tgz, r-oldrel (x86_64): MSclust_1.0.4.tgz |
Old sources: | MSclust archive |
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These binaries (installable software) and packages are in development.
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