I am using SAS Enterprise Guide and need to calculate the intraclass correlation for a mixed model with repeated subjects. In this scenario, I don't have access to BASE SAS, since I am running analysis on a very tightly controlled virtual reality desktop. When I run PROC HPMIXED, the results only give me the residual covariance and not the covariance for both the residual and subject. If I switch covariance types, I get rid of this issue, but the ICC is close to 100%, which is wrong. Is there a way to fix this without switching the covariance type? Here is my code with dataset and variable names edited: proc hpmixed data=dataset; class id year var1 ; model measure = var1-var24 / solution; repeated year / subject = id type=vc; run; Here is my current output (numbers made up for illustration): CovParm Subject Estimate Residual 0.003324 This is my desired output (numbers made up for illustration): CovParm Subject Estimate VC id 0.000891 Residual 0.002511
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