error message using glmmadmb
here is what happens when I tried the poisson:
m7<-glmmadmb(x~nsn*Insect.type+ara*Insect.type+offset(logTotal.grains)+(1|Site),data=data1, zeroInflation=TRUE, family="poisson") Warning message: In glmmadmb(x ~ nsn * Insect.type + ara * Insect.type + offset(logTotal.grains) + : Convergence failed:log-likelihood of gradient= -223.949 I will email you the summary(data1) output separately. I have 8 sites only. Thanks for all the help.
--On 05 March 2012 09:22 -0500 Ben Bolker <bbolker at gmail.com> wrote:
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 12-03-05 08:52 AM, RH Gibson, School Biological Sciences wrote:
That would make sense as I am able to fit a zero-inflated negative binomial model, but not just the binomial. I have tried poisson too, but this gave me the same error message as trying to fit the binomial. The y variable is a count, offset by a sample total. There is overdispersion and a lot of zeros in the data. Does using the zero-inflated negative binomial make sense here? Thanks.
It very rarely makes sense to use the binomial and the negative binomial to fit the same set of data; the binomial has a fixed (typically known) upper limit, the Poisson and NB do not. (The exception to this is that people will sometimes use Poisson/NB models when the upper limit is known but the observed frequency is very low - -- this is especially common e.g. in epidemiology.) ZINB, or plain old NB, probably make the most sense. It's more interesting that you get an error message with the Poisson, which may indicate some glmmADMB instability. What are the results of summary(data1)? How many sites do you have? Ben Bolker
--On 05 March 2012 08:25 -0500 Ben Bolker <bbolker at gmail.com> wrote:
On 12-03-05 06:00 AM, RH Gibson, School Biological Sciences wrote:
Updated to latest version and now having new problems: m3<- glmmadmb(x~nsn*Insect.type+ara*Insect.type+rap*Insect.type+fsize+offse t(
logTotal.grains)+(1|Site),data=data1, zeroInflation=TRUE,
family="binomial") Error in glmmadmb(x ~ nsn * Insect.type + ara * Insect.type + rap * Insect.type + : The function maximizer failed (couldn't find STD file) In addition: Warning message: running command 'C:\WINDOWS\system32\cmd.exe /c "C:/Program Files/R/R-2.14.2/library/glmmADMB/bin/windows32/glmmadmb.exe" -maxfn 500 -maxph 5 -noinit -shess' had status 1
This now means that the optimization failed for some reason. There are many reasons this can happen, mostly having to do with too-sparse or unusual data. Without knowing anything about your data, the one thing that pops out is you are using a binomial family with zeroInflation=TRUE. If your response is a matrix of successes and failures, that's unusual but plausible; if your response is a single 0/1 vector, then it doesn't make sense to use zero-inflation. (If your response is anything else it's odd too, although that probably would have been caught earlier.) Try working through the troubleshooting steps under ?admbControl (and running with verbose=TRUE to see exactly what AD Model Builder reports as the problem). Ben Bolker
Can you help with this? Many thanks, Rachel. --On 01 March 2012 18:10 +0000 Ben Bolker <bbolker at gmail.com> wrote:
Ben Bolker <bbolker at ...> writes: [snip]
If you do this: mydata <- data.frame(spdiv,nsn,ara,rap,Insect.type,fsize,Site) glmmadmb(spdiv~(nsn+ara+rap)*Insect.type+fsize+(1|Site),family="nbin om
")
it ought to work. However, it *should* work the way you specified -- I will work on fixing the bug. thanks Ben Bolker
This should be fixed now (i.e. in glmmADMB 0.7.2.7). It's still a good idea to use the data= argument.
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---------------------- RH Gibson, School Biological Sciences Rachel.Gibson at bristol.ac.uk
---------------------- RH Gibson, School Biological Sciences Rachel.Gibson at bristol.ac.uk
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---------------------- RH Gibson, School Biological Sciences Rachel.Gibson at bristol.ac.uk