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. Methodology for mixtures of power exponential distributions is from Dang et al. (2015) <doi:10.1111/biom.12351>.

Version: 0.1.1
Imports: mvtnorm
Suggests: testthat
Published: 2019-06-19
Author: Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], Ryan P. Browne[aut, cre], and Paul D. McNicholas[aut]
Maintainer: Utkarsh J. Dang <udang at binghamton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: mixSPE results

Downloads:

Reference manual: mixSPE.pdf
Package source: mixSPE_0.1.1.tar.gz
Windows binaries: r-devel: mixSPE_0.1.1.zip, r-devel-gcc8: mixSPE_0.1.1.zip, r-release: mixSPE_0.1.1.zip, r-oldrel: mixSPE_0.1.1.zip
OS X binaries: r-release: mixSPE_0.1.1.tgz, r-oldrel: mixSPE_0.1.1.tgz

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