R help - May 2002 - Code for simulating repeated measurements or for estimating correlation structure

Does anyone have code to share for simulating repeated measurement data using
one or more correlation structures along with random intercepts or random
intercepts and random slopes for subjects?

I would also like to have some recommendations for methods/functions for
empirically (i.e., without a linear model) estimating the correlation structure
from such repeated measures data.  Of particular interest would be a method that
assumes correlations are smooth functions of the time separation and estimates
those functions flexibly using splines for example.  The data I have in mind
have 15-200 measurements per subject.
After all these years I am still not experienced in repeated measures analysis
so forgive me if this is misguided.  I have only just begun reading Pinheiro and
Bates.

Thanks in advance,

Frank
-- 
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat
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