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deleted_user
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Hi, I have some problems with Proc NLMIXED. I have coded a two part model with general likelihood. But I am wondering if there is a simple way to deal with categorical variables in Proc NLMIXED? Just like the CLASS statement in other Proc.

Also I wish to do model selection in the future. But how can I code a macro to do automatic model selection?

Thanks!


proc nlmixed data= “…” TECH=dbldog;

parms b00=0 b10=0 b20=0 b30=0 b40=0 b0=0 b1=0 b2=0 b3=0 b4=0 sigma=1 delta=-2;
Z1=b0 + b1*x1 + b2*x2 + b3*x3 + b4*x4;
Z0=b00 + b10*x1 + b20*x2 + b30*x3 + b40*x4; temp=SQRT(sigma**2+delta**2);
P0=CDF('normal',-Z0);
if y=0 then P=P0;
else if y^=0 then P=(1-P0)*2/temp*PDF('normal',(y-Z1)/temp)*CDF('normal',delta/sigma*(y-Z1)/temp);
ll=log(P);
model y~GENERAL(ll);
bounds sigma>0;
run;

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