Hi I want to do use AIC for model selection on mixed model. However, before going deeper in the model selection, I want to assess is there is overdispersion with the full model in order to decide if I should use QAIC instead of AIC.
Is there a way to compute a chisquare goodness of fit test for mixed model calculate the variance inflation factor (sensu Burnham and Anderson, chisquare/DF)? Or should I use another approach to evaluate overdispersion in mixed model? Thanks Julien Checked by AVG Free Edition. 10:55 ______________________________________________ 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.
