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.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: doSNOW, foreach, snow, TSdist, tidyr, data.table, expint, zipfR, mclust, rlist, withr
Published: 2021-10-20
Author: Salvatore D. Tomarchio [aut, cre], Bagnato Luca [aut], Antonio Punzo [aut]
Maintainer: Salvatore D. Tomarchio <daniele.tomarchio at unict.it>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: SenTinMixt results

Documentation:

Reference manual: SenTinMixt.pdf

Downloads:

Package source: SenTinMixt_1.0.0.tar.gz
Windows binaries: r-devel: SenTinMixt_1.0.0.zip, r-release: not available, r-oldrel: SenTinMixt_1.0.0.zip
macOS binaries: r-release (arm64): SenTinMixt_1.0.0.tgz, r-release (x86_64): SenTinMixt_1.0.0.tgz, r-oldrel: SenTinMixt_1.0.0.tgz

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