Daniel Kaschek <daniel.kaschek <at> physik.uni-freiburg.de> writes:
> > Hi Jia, > > in order to test if the failing parameter estimation really has to do > with wrong initial values, you could first simulate data with your mixed > effects model. Just assume parameters, produce a data set with these > parameters, add noise and look if you can estimate the parameters > correctly with varying initial guesses. > PS. Correlations between random effects close to 1.0 (or -1.0) are usually a sign of insufficient data. Further questions along these lines should probably go to the r-sig-mixed-models list ... ______________________________________________ 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.
