[R-sig-ME] glmer and poisson distributions and P values

[ONKELINX, Thierry]

Dear Emma,

As Douglas stated in his post: add verbose = TRUE to your call to glmer. Eg glmer(Response ~ Predictor, verbose = TRUE)

Cheers,

Thierry


----------------------------------------------------------------------------
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium 
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be 
www.inbo.be 

To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens Emma Stone
Verzonden: dinsdag 17 maart 2009 9:10
Aan: Luca Borger
CC: r-sig-mixed-models at r-project.org
Onderwerp: Re: [R-sig-ME] glmer and poisson distributions and P values

Hi Luca,

Yep had a look on the help archive but this doesn't really help me I'm 
afraid,

There was no fitted model returned and I don't know how to turn on the 
verbose option in the optimizer.

Any ideas?



--On 16 March 2009 17:52 -0400 Luca Borger <lborger at uoguelph.ca> wrote:

> Hi Emma,
>
> (my two cents) It is usually very helpful to do first a search on the
> mailing list archives. For example, at:
>
>
>############################################################################
> http://markmail.org/message/oogvmvpxldr5i57q
>
> you can find a reply by Prof. Bates:
>
> "In mer_finalize(ans) : false convergence (8)
>
> That's a warning that the parameter estimates are suspect but it's not
> an error. I believe that a fitted model would have been returned.
>
> I suggest you turn on the verbose option in the optimizer and examine
> the progress of the iterations.  In the original call to glmer you add
> verbose = TRUE.  If re-calling "mer_optimize" as above then change the
> FALSE to TRUE."
>#############################################################################
>
>
> In addition, more information would be needed about your data etc. For
> example, in some cases similar convergence problems can be solved by
> centreing/standardising the predictor variable (but I may get corrected
> on this by the experts on this list).
>
> HTH
>
>
>
> Cheers,
>
> Luca
>
>
>
> ----- Messaggio originale -----
> Da: "Emma Stone" <Emma.Stone at bristol.ac.uk>
> A: r-sig-mixed-models at r-project.org
> Inviato: Lunedì, 16 marzo 2009 11:21:00 GMT -05:00 U.S.A./Canada, stati
> orientali Oggetto: [R-sig-ME] glmer and poisson distributions and P values
>
>
> Dear all,
>
> I am trying to run a glmer model with count data,with one random factor.
> When I run it with more than one predictor all is well, but when there is
> only one predictor in the model I get this warning message, can anyone
> explain this at all?
>
> Warning message: In mer_finalize(ans) : false convergence (8)
>
> Also, for other models in the canidate set I am looking at interactions
> between predictors and I want to get the P values for these interactions,
> any ideas how I can do this from a glmer model?
>
> Thanks
>
> Emma
>
>
> --
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models



----------------------
Emma Stone
Postgraduate Researcher
Bat Ecology and Bioacoustics Lab
& Mammal Research Unit
School of Biological Sciences,
University of Bristol, Woodland Road,
Bristol, BS8 1UG
Email: emma.stone at bristol.ac.uk

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