[R] nlme & VarIdent

[Louisell, Paul T PW]

Hello,

All the help I've read (including Pinheiro and Bates book, 'Mixed Effects Models in S and S-PLUS') regarding how to fit a linear mixed-effects model where variances change with a factor's levels indicates this is done through the 'weights' argument to 'lme', using something like 'weights=varIdent(form=~v|g)' where 'v' is a variance covariate and 'g' is the grouping factor whose strata have different random effect variances.

My question: Suppose I have more than 1 variance covariate, say v1, ..., vk, and I want _each_ of these to have variances that change with the levels of g giving a total of k*nlevels(g) parameters (k*nlevels(g) - k allowing for identifiability). How is this handled in the nlme package? A simple example would be random slope and intercepts, _both_ of which have variances changing with the levels of g. I haven't found any examples of this online or in Pinheiro & Bates, and I haven't been able to figure this out using the various varFunc/pdMat classes.

Help/advice would be greatly appreciated.

Thanks,

Paul Louisell
Statistical Specialist
Paul.Louisell at pw.utc.com
860-565-8104

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