mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification

Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew power exponential and power exponential distributions, respectively. A generalized expectation-maximization framework is used for parameter estimation. See citation() for how to cite.

Version: 0.9.2
Imports: mvtnorm
Suggests: testthat
Published: 2023-10-16
DOI: NA
Author: Ryan P. Browne[aut, cre], Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], and Paul D. McNicholas[aut]
Maintainer: Utkarsh J. Dang <utkarshdang at cunet.carleton.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: mixSPE citation info
Materials: NEWS
In views: Distributions
CRAN checks: mixSPE results

Documentation:

Reference manual: mixSPE.pdf

Downloads:

Package source: mixSPE_0.9.2.tar.gz
Windows binaries: r-devel: mixSPE_0.9.2.zip, r-release: mixSPE_0.9.2.zip, r-oldrel: mixSPE_0.9.2.zip
macOS binaries: r-release (arm64): mixSPE_0.9.2.tgz, r-oldrel (arm64): mixSPE_0.9.2.tgz, r-release (x86_64): mixSPE_0.9.2.tgz, r-oldrel (x86_64): mixSPE_0.9.2.tgz
Old sources: mixSPE archive

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