Package: MSclust 1.0.4

Cristina Tortora

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>.

Authors:Cristina Tortora [aut, cre, cph], Antonio Punzo [aut], Louis Tran [aut]

MSclust_1.0.4.tar.gz
MSclust_1.0.4.zip(r-4.7-any)MSclust_1.0.4.zip(r-4.6-any)
MSclust_1.0.4.tar.gz(r-4.7-any)MSclust_1.0.4.tar.gz(r-4.6-any)
MSclust_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MSclust/json (API)

# Install 'MSclust' in R:
install.packages('MSclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sim - A Mixture of Two Normal Distributions with outliers

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 463 downloads 8 exports 47 dependencies

Last updated from:b4033a5d3a. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK125
source / vignettesOK174
linux-releaseOK134
windows-develOK93
windows-releaseOK101
wasm-releaseOK90

Exports:dmscndmstmscnmstplot.MSclustrmscnrmstsummary.MSclust

Dependencies:cliclustercpp11crayondplyrfarverforcatsgenericsGGallyggplot2ggstatsglueGPArotationgtablegtoolshmsisobandlabelinglatticelifecyclemagrittrMatrixmclustmnormtmvtnormnlmepatchworkpillarpkgconfigprettyunitsprogresspsychpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr