[R-sig-ME] fixed effects

[Chen, Gang (NIH/NIMH) [C]]

With the following generalized linear mixed-effects model:

fm <- glmer( Y ~ Treatment + ( Treatment  | Subject) + (1|Trial), family=poisson))

How can I obtain the estimated fixed effects? fitted() seems to provide the sum of fixed and random effects, while predict() does not seem to work because I'm modeling the overdispersion with (1|Trial). I could manually compute the fixed effects based on the coefficients, but is there a function available for this purpose?

Thanks,
Gang

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