Package: SenTinMixt 1.0.0

Salvatore D. Tomarchio

SenTinMixt: Parsimonious Mixtures of MSEN and MTIN Distributions

Implements parsimonious mixtures of MSEN and MTIN distributions via expectation- maximization based algorithms for model-based clustering. For each mixture component, parsimony is reached via the eigen-decomposition of the scale matrices and by imposing a constraint on the tailedness parameter. This produces a family of 28 parsimonious mixture models for each distribution.

Authors:Salvatore D. Tomarchio [aut, cre], Bagnato Luca [aut], Antonio Punzo [aut]

SenTinMixt_1.0.0.tar.gz
SenTinMixt_1.0.0.tar.gz(r-4.5-noble)SenTinMixt_1.0.0.tar.gz(r-4.4-noble)
SenTinMixt_1.0.0.tgz(r-4.4-emscripten)SenTinMixt_1.0.0.tgz(r-4.3-emscripten)
SenTinMixt.pdf |SenTinMixt.html✨
SenTinMixt/json (API)

# Install 'SenTinMixt' in R:
install.packages('SenTinMixt', repos = 'https://cloud.r-project.org')
Datasets:
  • AIS - Australian institute of sport data
  • Hawks - Measurements on Two Hawk Species

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 188 downloads 7 exports 97 dependencies

Last updated 3 years agofrom:392a8316f7. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxOKMar 25 2025

Exports:dmsendmtinMixt.fitMixt.fit.initrMixtrmsenrmtin

Dependencies:base64encbslibcachemclasscliclusterclvcodetoolscolorspacecpp11curldata.tabledigestdoSNOWdplyrdtwevaluateexpintfansifarverfastmapfontawesomeforeachforecastfracdifffsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelmtestlocpollongitudinalDatamagrittrMASSMatrixmclustmemoisemgcvmimemisc3dmunsellnlmennetpdcpillarpkgconfigproxypurrrquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadillorglrlangrlistrmarkdownsassscalessnowstringistringrtibbletidyrtidyselecttimeDatetinytexTSclustTSdisttseriesTTRurcautf8vctrsviridisLitewithrxfunXMLxtsyamlzipfRzoo

Citation

To cite package ‘SenTinMixt’ in publications use:

Tomarchio S, Luca B, Punzo A (2021). SenTinMixt: Parsimonious Mixtures of MSEN and MTIN Distributions. R package version 1.0.0, https://CRAN.R-project.org/package=SenTinMixt.

Corresponding BibTeX entry: 

  @Manual{,
    title = {SenTinMixt: Parsimonious Mixtures of MSEN and MTIN
      Distributions},
    author = {Salvatore D. Tomarchio and Bagnato Luca and Antonio
      Punzo},
    year = {2021},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=SenTinMixt},
  }