I am using the glimmix procedure in SAS to model a generalize linear mixed model with and binomial distribution and a logit link function. I am modeling both the G-side and the R-side covariance structure due to the nature of my data (repeated measures for 43 participants).
Specifically I use a random intercept model for subjects and G-side covariance matrix following a variance component structure. To account for the repeated measures the model also included random residuals for subjects with the R-side covariance matrix modeled as first order auto regressive.
My question now is; how do I interpret the covariance parameter estimates (an example is provided below))?
Covariance Parameter Estimates Cov Parm Subject Estimate Standard Error Intercept Subject 1.233 0.2133 AR(1) Subject 0.1113 0.004561 Residual 0.9964 0.00651