I'd like to echo Todd's thanks. I am also hoping that you will find time to
do this - but fully appreciate your reason for taking time. But would it not
be possible for Todd to use the older version of lmer from your archive
(viz: lme4_0.99875-9 )? It may not have  recent improvements, but it will do
the mcmc for covariance structure models and they have seemed OK to me,
though perhaps you would have different advice.

Thanks again

Gillian Raab
Edinburgh

2008/7/11 Douglas Bates <bates@stat.wisc.edu>:

> On Fri, Jul 11, 2008 at 9:06 AM, Remund, Todd <Todd.Remund@atk.com> wrote:
> > 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.
>
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