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