Thanks Dave! The syntax you gave worked great for testing each aspect of the random effect. I also tested the models without the autocorrelation component and a few of the fixed effects estimates had quite different magnitudes than they did when autocorrelation was included (e.g., intercept of 2.0 without autocorrelation vs. 1.5 with autocorrelation). The direction and significance of the effects didn't appear to change much though. That makes me inclined to retain that component, with the hope that it's doing more good than harm. Thanks again Kevin
Testing for significant intercept-slope correlation in nlme
1 message · Kevin Hallgren