Hi everyone,
I am working on a linear mixed model using PROC HPMIXED , but I have encountered an issue with my dependent variable, which is not normally distributed as it is a count trait. Since I am dealing with count data, I considered using a zero-inflated model with PROC NLMIXED . However, this is not feasible due to the large size of my dataset (over 100k observations).
I am exploring other approaches, such as Gibbs sampling or Bayesian methods, for resampling. My question is: Does SAS have a procedure that can handle this approach, as I do not have time to explore R or other programs?
Thank you for your suggestions.
Best regards,
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