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

[Emma Stone]

Hi Thierry,

Thanks for this, does that mean I add this to the model instead of the 
family = poisson? Is this still applicable for poisson data?

Sorry if I am being stupid, quite new to all this

Emma

--On 17 March 2009 09:23 +0100 "ONKELINX, Thierry" 
<Thierry.ONKELINX at inbo.be> wrote:

> 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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> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>
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----------------------
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