Obtain posterior model probabilities after running Bayesian model selection
postSamples(object)For objects of class mixturebf, a list with one element for
each considered number of mixture components.
Each element in the list contains posterior samples on the mixture weights (eta) and other component-specific parameters such as means (mu) and Cholesky decomposition of the inverse covariance matrix (cholSigmainv)
Object containing posterior samples, e.g. of class
mixture bf as returned by bfnormmix
David Rossell