Description Usage Arguments Value Author(s) Examples
Obtain posterior model probabilities after running Bayesian model selection
1 | postSamples(object)
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object |
Object containing posterior samples, e.g. of class
mixture bf as returned by |
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)
David Rossell
1 | #See help(bfnormmix)
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