Hi, Let me start my saying that I am new to R hence my grasp of the appropriate used of R coding is undoubtedly way behind many on this forum.
I am trying to use boostrapping to derive errors around my parameter estimate for the fixed effects in the following model. It is simply estimating the number of times an animal might cross a road based on the road's distance from a stream. I have tried several different methods but have been unsuccessful. I have tried both using the boot package and simply developing a bit of code that resamples my data and drops the parameter estimates into a new vector. I would be interested in running both a parametric and non-parametric version. model2<-nlme(nwfcross~a*exp(-b*nwfdist), fixed=a+b~1, random=a+b~1|nwfid, start=c(a=300,b=0.016)) Any help would be greatly appreciated. If it is helpful I can add in some of the code I have tried and the resulting error messages. Lynn -- View this message in context: http://r.789695.n4.nabble.com/Bootstrapping-nlme-models-tp4270557p4270557.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.
