Proc glimmix data = cool plots=all;
Class a1 a2 a3 a4;
Model a1 = a2/ dist = binomial s ddfm = kr;
Random a3/ subject = a4 residual type = cs;
run;
Is there a way you can get the deviance and goodness of fit from proc glimmix?
Try with Proc Logistic as follow...
Proc Logistic data = cool descending;
model a1 = a2 / DEVIANCE LACKFIT;
quit;
If you want to predict the probability of success based on catogrical response variable then i think Proc Logistic is best to use, you dont need to specify BINOMIAL option on MODEL statement...
-Urvish
April 27 - 30 | GAYLORD TEXAN
Register now to lock in early bird pricing through February 25!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.
Browse our catalog!