For methods like quad and laplace to work, is there a way to transform repeated measures data into a G-side effect?
Proc glimmix data = blah plots=residualpanel;
Class a1 a2 a3;
Model ff = a1/ dist = poisson s;
random a2/ subject = a3 type = cs;;
random a2;
run;
This should work, and give estimates that are conditional on the random effects.
Steve Denham
I actually run it like this and it says R-side random effects now allowed:
Proc glimmix data = blah plots=residualpanel;
Class a1 a2 a3;
Model ff = a1/ dist = poisson s;
random a2/ subject = a3 residual type = cs;;
random a2;
run;
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