Covariance structure and MCMC

I have been using lmer() to fit a mixed model to some experimental design
data.  I have an unstructured covariance structure.  I would like to use
your mcmcsamp() function to to inference using a Bayesian methods, but the
mcmcsamp function will not take the mer class object when it has the
covariance structure.  Is there a prototype version that I could use to
create the MCMC samples?  I really appreciate your time, and the functions
you have created.  They are very fast.  (My data set is rather large.)

Thank you for the kind words.  I'm sorry to say that I don't have a
prototype version of mcmcsamp for models with correlated random
effects.  I believe it would take only a day or two to implement it
but right now I don't have a day or two to work on it.       There are
simply too many other commitments at this time, including checking on
the peculiar behavior of the current mcmcsamp for models with
uncorrelated random effects.  There is really no purpose in working
out the sampling of the parameters that induce correlation if the
variance components are not being sampled correctly.