Hello! 
I am trying to model data on species abundance (count data) with a poisson
error distribution. I have a fixed and a random variables and thus needs a
mixed model. I strongly doubt that my model is overdispersed but I don't
know how to get the overdispersion parameter in a mixed model. Maybe someone
can help me on this point. Secondly, it seems that quasi models cannot be
implemented with the function lmer, is there an option? If not, I certainly
should go to variable transformation and use a gaussian error distribution,
but it is not optimal.
Thank you!



--
View this message in context: 
http://r.789695.n4.nabble.com/Assessing-overdispersion-and-using-quasi-model-with-lmer-possible-tp4646626.html
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to