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: | 0.9.1 |
Imports: | mvtnorm |
Suggests: | testthat |
Published: | 2021-01-25 |
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 <udang at binghamton.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | mixSPE results |
Reference manual: | mixSPE.pdf |
Package source: | mixSPE_0.9.1.tar.gz |
Windows binaries: | r-devel: mixSPE_0.9.1.zip, r-release: mixSPE_0.9.1.zip, r-oldrel: mixSPE_0.9.1.zip |
macOS binaries: | r-release: mixSPE_0.9.1.tgz, r-oldrel: mixSPE_0.9.1.tgz |
Old sources: | mixSPE archive |
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