[R-sig-ME] fixed effects

[Ben Bolker]

    Perhaps you want

  predict(fm,re.form=~0)

?


On Sat, Oct 3, 2015 at 2:38 PM, Chen, Gang (NIH/NIMH) [C]
<gangchen at mail.nih.gov> wrote:
> 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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>
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