Dear R users, I would be interested in using the lme() function to fit a linear mixed model to a longitudinal dataset. I know this function allows for the specification of a within-group covariance structure. However, does it allow for the explicit specification of a between-group covariance structure?
Being able to specify both separately would be very important in the context of my project since, as might be expected, they have different implications/interpretations. For instance, the mixed procedure in SAS allows users to specify the two structures separately by adding a value for the type argument after the RANDOM statement and the REPEATED statement. My question is thus if we can do the same with lme(). I thank you most sincerely for your help. -- View this message in context: http://www.nabble.com/lme-between-group-and-within-group-covariance-tp22834748p22834748.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] 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.
