mixturebf-class: Class "mixturebf"
In mombf: Bayesian Model Selection and Averaging for Non-Local and Local Priors

Description Objects from the Class Slots Methods Author(s) References See Also Examples

Stores the output of Bayesian model selection for mixture models, e.g. as produced by function bfnormmix.

Methods are provided for retrieving the posterior probability of a given number of mixture components, posterior means and posterior samples of the mixture model parameters.

Typically objects are automatically created by a call to bfnormmix.

The class has the following slots:

postprob: data.frame containing posterior probabilities for different numbers of components (k) and log-posterior probability of a component being empty (contain no individuals)
p: Number of variables in the data to which the model was fit
n: Number of observations in the data to which the model was fit
priorpars: Prior parameters used when fitting the model
postpars: Posterior parameters for a 1-component mixture, e.g. for a Normal mixture the posterior is N(mu1,Sigma/prec) IW(nu1,S1)
mcmc: For each considered value of k, posterior samples for the parameters of the k-component model are stored

coef: Computes posterior means for all parameters
show: signature(object = "mixturebf"): Displays general information about the object.
postProb: signature(object = "mixturebf"): Extracts posterior model probabilities, Bayes factors and posterior probability of a cluster being empty
postSamples: signature(object = "mixturebf"): Extracts posterior samples