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weighted mixed model regression
2 messages · Ahmad Rabiee, 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 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 Any one "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> Please note my new email address is mailto:ahmadr at sbscibus.com.au. Please update your records. ? ? ? ?[[alternative HTML version deleted]]
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