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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