On Wed, 2006-08-23 at 06:43 +1000, Andrew Robinson wrote: > Rick, > > if by marginal prediction, you mean the prediction without random > effects, then use the "level" argument. See ?predict.lme or ?fitted.lme > > If not then I don't know :) > > Cheers > > Andrew Thanks. I'm familiar with level in predict and fitted for lme. These allow you to select the fixed effects and/or the random effects. The marginal prediction integrates out the random effects and is what a GEE marginal model produces. From what I've read, the marginal effects seem to be less desirable than the fixed effects from an lme or a generalized lme. But I would still like to compute them for comparison.
Rick B. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
