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.tar.gz(r-4.5-noble)MSclust_1.0.4.tar.gz(r-4.4-noble)
MSclust_1.0.4.tgz(r-4.4-emscripten)MSclust_1.0.4.tgz(r-4.3-emscripten)
MSclust.pdf |MSclust.html
MSclust/json (API)

# Install 'MSclust' in R:
install.packages('MSclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • sim - A Mixture of Two Normal Distributions with outliers

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

1.00 score 556 downloads 8 exports 53 dependencies

Last updated 7 months agofrom:b4033a5d3a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linuxOKNov 01 2024

Exports:dmscndmstmscnmstplot.MSclustrmscnrmstsummary.MSclust

Dependencies:cliclustercolorspacecpp11crayondplyrfansifarverforcatsgenericsGGallyggplot2ggstatsglueGPArotationgtablegtoolshmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmnormtmunsellmvtnormnlmepatchworkpillarpkgconfigplyrprettyunitsprogresspsychpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr