postSamples function

Extract posterior samples from an object

Obtain posterior model probabilities after running Bayesian model selection

postSamples(object)

Arguments

• object: Object containing posterior samples, e.g. of class mixture bf as returned by bfnormmix

Returns

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)

Author(s)

David Rossell

Examples

#See help(bfnormmix)