R help - Aug 2003 - Extracting from population estimation, individual estimations

Hello to everyone!

I fitted a nonlinear mixed model to a dataframe. The dataframe contained among
others a variable "Subject".For each subject there were several
entries(measurements), exactly sixteen. I fitted the nonlinear mixed model using
the variable "Subject" as a grouping factor in the random statement of
the model. There were two parameters that had to be estimated. The two
estimations reflect though the estimations for the population. I am looking for
a way to extract of these population estimations the individual estimations of
the parameters for each subject, i.e. the predictions (not the predicted values)
for each subject. There is for example a possibility in SAS to do this, is there
any in R as well?

Thanks for answers.

Regards

Dassy

Have you considered "intervals"?  The index in Pinhiero and Bates
(2000)
Mixed-Effects Models in S and S-Plus (Springer) gives several page 
references (at least one of which is off by 1 page in my copy of the 
book) that seem relevant to your question.

hope this helps.  spencer graves

Brunschwig, Hadassa {PDMM~Basel} wrote:
> Hello to everyone!
> 
> I fitted a nonlinear mixed model to a dataframe. The dataframe contained
among others a variable "Subject".For each subject there were several
entries(measurements), exactly sixteen. I fitted the nonlinear mixed model using
the variable "Subject" as a grouping factor in the random statement of
the model. There were two parameters that had to be estimated. The two
estimations reflect though the estimations for the population. I am looking for
a way to extract of these population estimations the individual estimations of
the parameters for each subject, i.e. the predictions (not the predicted values)
for each subject. There is for example a possibility in SAS to do this, is there
any in R as well?
> 
> Thanks for answers.
> 
> Regards
> 
> Dassy
> 
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