Dear all, I'm a student and I want to modelize migrations from individual datas. Because I have many municipals datas, I want to perform a multilevel analysis, with only the intercept as random effect. My variable to predict is multinomial (not ordinal) and has 3 categories : 0 : no migration (reference) 1 : short migration (less than 40km) 2 : long migration (more than 40km) So I'm trying to use the proc GLIMMIX but all the parameters are confusing and I dind't find a exemple for multinomial datas. Could you help me to select the right syntax ? By example for the empty model I use this syntax : proc glimmix data=Mob_06.Datas method=LAPLACE NOCLPRINT;
class DCRAN Migration;
model Migration (ref=first) = /CL link=glogit dist=MULTINOMIAL solution;
RANDOM intercept/SUBJECT=DCRAN GROUP=Migration TYPE=VC SOLUTION CL;
COVTEST / WALD;
run; Migration is the Y variable, DCRAN is the municipal code. I'm not sure that Migration must be put in the class statment, but otherwise, the model fail with this error : "Model is too large to be fit by PROC GLIMMIX in a reasonable amount of time on this system. Consider changing your model" thank you for your help
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