Evaluates the agreement of a given partition with respect to the partition arising from the mixture of multivariate contaminated normal distributions.
If the mixture has been fitted for classification purposes, the agreement will be based on the unlabelled observations only.
vector, of the same dimension of the number of observations used to fit the model in object, representing a given partition
criterion
an optional character string with the information criterion to consider; supported values are: "AIC", "AICc", "AICu", "AIC3", "AWE", "BIC", "CAIC", "ICL".
Default value is "BIC".
Value
A contingency table.
References
Punzo, A. and McNicholas, P. D. (2015). Parsimonious mixtures of contaminated Gaussian distributions with application to allometric studies. arXiv.org e-print 1305.4669, available at: http://arxiv.org/abs/1305.4669.