This function generates a power posterior function for estimation of marginal likelihood using the stepping stone method
make.powerposteriorFn(Bk, priorFn, refFn, model)
The sequence of steps to be taken from the reference function to the posterior
The prior function to be used in marginal likelihood estimation
The reference function generated using make.refFn()
from a preexisting mcmc chain
A string specifying the model type ("OU", "OUrepar", "QG") or a model parameter list
A function of class "powerposteriorFn" that returns a list of four values: result
(the log density of the power posterior),
lik
(the log likelihood), prior
(the log prior), ref
the log reference density.
For use in stepping stone estimation of the marginal likelihood using the method of Fan et al. (2011).