[R] animal models and lme
Douglas Bates
bates at stat.wisc.edu
Wed Jul 23 16:01:53 CEST 2003
<iwhite at staffmail.ed.ac.uk> writes:
> Not convinced that responses so far have addressed the problem. The
> model is
>
> y = mu + U + e
>
> where e is a vector of independendent errors with variance ve, and U
> is a vector of random effects with covariance matrix va*A, where A is a
> known matrix (which we can assume is a correlation matrix). If we know the
> ratio (va/ve), this reduces to a GLS problem, but not otherwise. Usually
> we have to estimate both ve and va.
Sorry to say that I don't think lme will handle that problem gracefully.
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