[R] glmmBUGS: logistic regression on proportional data
dieter.menne at menne-biomed.de
Sun Feb 8 16:46:24 CET 2009
John Poulsen <jpoulsen <at> zoo.ufl.edu> writes:
> I am trying to run a logistic regression with random effects on
> proportional data in glmmBUGS. I am a newcomer to this package, and
> wondered if anyone could help me specify the model correctly.
> I am trying to specify the response variable, /yseed/, as # of successes
> out of total observations... but I suspect that given the error below,
> that is not correct. Also, Newsect should be a factor, whereas Newdist
> is continuous.
> Newdat<-data.frame(Newtree=rep(1:3, each=20), Newsect=rep(c("a","b"),
> each=10), Newdist=rep(1:5, 2),
> y=rpois(60,2), tot=rep(c(14,12,10,8,6), 12))
> yseed<-cbind(Newdat$y, Newdat$tot)
> mod<-glmmBUGS(yseed~Newsect + Newdist, effects="Newtree",
> family="binomial", data=Newdat)
First, a typo, there is no yseed. Second, after the error message
"must be between 0 and 1", this looks more like poisson, because
you have the counts, not the events.
This might come close
mod<-glmmBUGS(y~Newsect + Newdist, effects="Newtree",
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