Highest posterior probability model
Description
This function finds the highest posterior probability (HPP) model, which corresponds to the indicator matrix most often visited by the sampler across MCMC iterations.
Usage
1  HPPmodel(mcmc)

Arguments
mcmc 
Object of class ' 
Details
The HPP model can only be found if identification with respect to column switching has been restored a posteriori. An error message is returned if this is not the case.
A warning is issued if the HPP model found is not unique.
Value
The function returns an object of class 'hppm.befa
'
containing:

draws
: Posterior draws of model parameters corresponding to the HPP model. 
dedic
: Vector of indicators of the the HPP model. 
prob
: Posterior probability of the HPP model.
Author(s)
RĂ©mi Piatek remi.piatek@econ.ku.dk
See Also
post.column.switch
Examples
1 2 3 4 5 6 7 