[R-sig-ME] weighted mixed model regression

[Dennis Murphy]

The same as in lm(). See ?lm for details. (Gotten from the glmer()
help page: ?glmer)

Dennis

On Thu, Nov 17, 2011 at 6:46 PM, Ahmad Rabiee <ahmadr at sbscibus.com.au> wrote:
> Hi
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> I need to do a weighted mixed model regression on a continuous dependent
> variable.
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> I want to use the "N" or "inverse variance" to weigh the estimated outcomes.
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> Example:
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> my <- glmer(milk ~ gid + period + dim + protein + (1|id), dat)
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> Anyone knows how I can weigh the estimated coefficients for N or inverse
> variance?
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> Thanks
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> Ahmad
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> Any one
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> "Try not to become a man of success, but rather try to become a man of
> value"
> Albert Einstein
> <http://www.brainyquote.com/quotes/authors/a/albert_einstein.html>
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> Please note my new email address is mailto:ahmadr at sbscibus.com.au. Please
> update your records.
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