mixSSG: Clustering Using Mixtures of Sub Gaussian Stable Distributions

Developed for model-based clustering using the finite mixtures of skewed sub-Gaussian stable distributions developed by Teimouri (2022) <arXiv:2205.14067> and estimating parameters of the symmetric stable distribution within the Bayesian framework.

Version: 2.1.1
Depends: R (≥ 3.4.3)
Imports: ars, MASS, rootSolve
Published: 2022-09-11
Author: Mahdi Teimouri ORCID iD [aut, cre, cph, ctb]
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mixSSG results

Documentation:

Reference manual: mixSSG.pdf

Downloads:

Package source: mixSSG_2.1.1.tar.gz
Windows binaries: r-devel: mixSSG_2.1.1.zip, r-release: mixSSG_2.1.1.zip, r-oldrel: mixSSG_2.1.1.zip
macOS binaries: r-release (arm64): mixSSG_2.1.1.tgz, r-oldrel (arm64): mixSSG_2.1.1.tgz, r-release (x86_64): mixSSG_2.1.1.tgz
Old sources: mixSSG archive

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