Dear Caroline,
Yes, it seems you have complete separation for the 'Timepoint'
variable. This means that the likelihood is unbounded for that
parameter and the optimizer just terminates when it gets far enough
out on an asymptote and improvements are below a threshold. This is
also the reason the v
Dear all
I have ordinal data (from a questionnaire with 4 levels) for 2 groups (30
subjects each) and 2 timepoints. So I used a cumulative link mixed model to fit
the data (nr = subject number).
mod_FV<-clmm2(FV~GruppeVerbelendung+Timepoint,random=nr,data=data,Hess=TRUE,nAGQ=10,na.action=na.om
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