HI,

Sounds like you are doing a meta-regression? If so, there are several
packages that can run the mixed-effect model with various estimators (e.g.,
REML, ML) including:

rma()  in the metafor package
mvmeta() in the mvmeta package
meta()   in the metaSEM package
mareg()  in the MAd package (which is based off rma())


AC


On Thu, Nov 17, 2011 at 6:46 PM, Ahmad Rabiee <ahmadr@sbscibus.com.au>
wrote:
> Hi
>
>
>
> I need to do a weighted mixed model regression on a continuous dependent
> variable.
>
> I want to use the "N" or "inverse variance" to weigh the estimated
outcomes.
>
>
>
> Example:
>
>
>
> my <- glmer(milk ~ gid + period + dim + protein + (1|id), dat)
>
>
>
> Anyone knows how I can weigh the estimated coefficients for N or inverse
> variance?
>
>
>
> Thanks
>
> Ahmad
>

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