R help - Oct 2010 - Package for GLMM with correlation matrix

Hi,

I'm looking for a R package for fitting a generalized linear mixed model
    g(E[yi])=â*xi+ui
where g is a link function, subscript i represents the individual id, â is
fixed effect coefficient, ui is a random effect with E[u]=0 and covariance
Cov[u]=G*ó^2, in which G is a correlation matrix.

Is there a R package that can do such glmm fitting? Thanks in advance.

Alex

	[[alternative HTML version deleted]]

wong <aspxwong <at> gmail.com> writes:
> I'm looking for a R package for fitting a generalized linear mixed
model
>     g(E[yi])=?*xi+ui
> where g is a link function, subscript i represents the individual id, ? is
> fixed effect coefficient, ui is a random effect with E[u]=0 and covariance
> Cov[u]=G*?^2, in which G is a correlation matrix.
  See glmmPQL in the MASS package.
  (Questions like this might prefer to go to r-sig-mixed-models at
r-project.org.)