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:
MSclust_1.0.4.tar.gz
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')) |
- 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.
Last updated from:b4033a5d3a. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 196 | ||
| source / vignettes | OK | 178 | ||
| linux-release-x86_64 | OK | 199 | ||
| wasm-release | OK | 108 |
Exports:dmscndmstmscnmstplot.MSclustrmscnrmstsummary.MSclust
Dependencies:cliclustercpp11crayondplyrfarverforcatsgenericsGGallyggplot2ggstatsglueGPArotationgtablegtoolshmsisobandlabelinglatticelifecyclemagrittrMatrixmclustmnormtmvtnormnlmepatchworkpillarpkgconfigprettyunitsprogresspsychpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Mixtures of Multiple Scaled Contaminated Normal Distributions. | mscn |
| Mixture of Multiple Scaled Student-t Distributions | mst |
| MSclust Plotting | plot.MSclust |
| Multiple Scaled Contaminated Normal Distribution | dmscn rmscn |
| Multiple Scaled Student-t Distribution | dmst rmst |
| A Mixture of Two Normal Distributions with outliers | sim |
| Summary for MSclust | summary.MSclust |