peixotop <peixotop <at> leuphana.de> writes:
> I am using glmmADMB and when I run some models, I recieve the following > message: > > Erro em glmmadmb(eumencells ~ 1 + (1 | owners), data = pred3, family = > "nbinom", : > The function maximizer failed (couldn't find STD file) > Furthermore: Lost warning messages: > Command execution 'C:\Windows\system32\cmd.exe /c > "C:/Users/helenametal/Documents/R/win-library/2.15/ > glmmADMB/bin/windows32/glmmadmb.exe" > -maxfn 500 -maxph 5 -noinit -shess' teve status 1 > : Mensagens de aviso perdidas: > execução do comando 'C:\Windows\system32\cmd.exe /c > "C:/Users/helenametal/Documents/R/win-library/2.15/ > glmmADMB/bin/windows32/glmmadmb.exe" > -maxfn 500 -maxph 5 -noinit -shess' teve status 1 Sorry, this is not nearly enough information for diagnosis. This message just means that *something* went wrong during the optimization step (I do appreciate that it would be good to improve the error messages, although there may not be that much more information available). Please (1) follow-up to r-sig-mixed-mod...@r-project.org and (2) give more complete information on the full model you ran, contents of pred3, etc. (see e.g. http://tinyurl.com/reproducible-000) Here's a minimal example that shows that a model of the form you present *could* work: pred3 <- data.frame(owners=rep(letters[1:20],each=20)) set.seed(1001) u <- rnorm(20,sd=2) pred3$eumencells <- rnbinom(nrow(pred3),mu=exp(1.5+u),size=2) library(glmmADMB) glmmadmb(eumencells ~ 1 + (1|owners),family="nbinom",data=pred3) -- although it doesn't work very well -- it essentially estimates the random effects as zero, lumps the among-owner variance into the NB variance, and mis-estimates the intercept. I don't blame glmmADMB for this, though, it's a small data set and a tough problem. ______________________________________________ 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.
