Re: [R] Fitting a mixed negative binomial model

From: Henric Nilsson <henric.nilsson_at_statisticon.se>
Date: Thu 14 Apr 2005 - 02:23:32 EST

Ben Bolker said the following on 2005-04-12 21:40:

> This is a little bit tricky (nonlinear, mixed, count data ...) Off the
> top of my head, without even looking at the documentation, I think your
> best bet for this problem would be to use the weights statement to allow
> the variance to be proportional to the mean (and add a normal error term
> for individuals) -- this would be close to equivalent to the log-Poisson
> model used by Elston et al. (Parasitology 2001, 122, 563-569, "Analysis
> of aggregation, a worked example: numbers of ticks on red grouse
> chicks"), and might do what you want.

A recent posting

http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48429.html

suggests that an R function for fitting the negative binomial mixed-effects model actually exists.

HTH,
Henric



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