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 |
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:
Downloads:
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