Re: [R] Fitting a mixed negative binomial model

From: Henric Nilsson <>
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

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

Henric mailing list PLEASE do read the posting guide! Received on Thu Apr 14 02:28:17 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:31:07 EST