This package allows for fitting, according to the expectation-conditional maximization algorithm, of the family of 14 parsimonious mixtures of contaminated Gaussian distributions discussed in Punzo & McNicholas (2013). Some likelihood-based model selection criteria can be adopted to select the best model in the family and the best number of mixture components.
Punzo A., McNicholas, P. D.
Maintainer: Punzo Antonio <[email protected]>
Punzo, A., and McNicholas, P. D. (2013). Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions. arXiv.org e-print 1305.4669, available at: http://arxiv.org/abs/1305.4669.
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