mixturebf-class {mombf}

Class "mixturebf"

Description

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.

Objects from the Class

Typically objects are automatically created by a call to bfnormmix.

Slots

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

Methods

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

Author(s)

David Rossell

References

Fuquene J., Steel M.F.J., Rossell D. On choosing mixture components via non-local priors. 2018. arXiv

See Also

See also bfnormmix

Examples

showClass("mixturebf")