11-18-2009 08:12 PM
11-19-2009 04:08 PM
08-13-2014 10:16 PM
There have been several discussions of this on this site. There is no unambiguous or unique R2 where then are multiple random effects. But there are some possible metrics that have been used.
08-14-2014 08:13 AM
Here is a more recent link to Dale McLerran's post in the SAS-L archives:
12-02-2014 07:24 PM
Thanks for posting this link, Steve. It seems very helpful. I'm a novice SAS user; could provide some instruction on how to constrain the random effect variance for the intercept only model to be the same as the variance which you observe when
fitting the full model, as instructed in the link?
12-03-2014 02:18 PM
Run the full model and get the variance component estimates. Then run the model again (with no fixed effects, which is the intercept only model), but specify the variance component(s) in a PARMS statement, and use the hold= option to fix them at the same values.