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: |
0.9.1 |
| 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 |
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