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mixSPE (version 0.1.1)

Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification

Description

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) .

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Version

Install

install.packages('mixSPE')

Monthly Downloads

380

Version

0.1.1

License

GPL (>= 2)

Maintainer

Utkarsh Dang

Last Published

June 19th, 2019

Functions in mixSPE (0.1.1)

mpe

Function for model-based clustering with the multivariate power exponential (PE) distribution.
print.pemix

Print a summary of the model fit.
rpe

Simulate data from the multivariate power exponential distribution.
print.spemix

Print a summary of the model fit.
rspe

Simulate data from the multivariate skew power exponential distribution.
mspe

Function for model-based clustering with the multivariate skew power exponential (SPE) distribution.
mixSPE-package

Mixtures of skew power exponential or power exponential distributions.