Hi - I am using R version 2.13.0. I have run several GLMMs using the glmmPQL function to model the proportion of fish caught in one net to the total caught in both nets by length. I started with a polynomial regression full model with three length terms: l, l^2, and l^3 (l=length). The length terms and intercept were the fixed effects and the random effect was a paired haul (n=18).
m1<-glmmPQL(fixed=Proportion~1+Length+second+third,random=~1|Pair,family=binomial,data=species,verbose=T,niter=2,weight=(Experimental+Control)) For the majority of the models, I ended up with a constant model with no length effect. The issue I am having is with the confidence intervals that were calculated. For two models the CIs are not symmetrical around the mean proportion from the model. The CIs for the other constant models are symmetrical around the mean. I was wondering if anyone has an idea why this would be or if anyone has any suggestions. Thanks Sally -- View this message in context: http://r.789695.n4.nabble.com/confidence-intervals-with-glmmPQL-tp4649637.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.
