I'm sorry, I forgot to mention that I already centered the covariates
(that's where the "c_" in the parameter names stands for.


2013/7/24 Highland Statistics Ltd <highstat@highstat.com>

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>
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>  ------------------------------**------------------------------**
>> ----------
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>> Message: 1
>> Date: Tue, 23 Jul 2013 13:51:49 +0200
>> From: Tara Woud <t.y.woud@students.uu.nl>
>> To: r-sig-mixed-models@r-project.**org <r-sig-mixed-models@r-project.org>
>> Subject: [R-sig-ME] false convergence of lmer model
>> Message-ID:
>>         <CAPXVpJnhN326OH3codzQRCwL+**pZ0Q1DXdxO22ZToqQYF5rptsQ@**
>> mail.gmail.com<CAPXVpJnhN326OH3codzQRCwL%2BpZ0Q1DXdxO22ZToqQYF5rptsQ@mail.gmail.com>
>> >
>> Content-Type: text/plain
>>
>>
>> Dear all,
>>
>> To determine the effect of weather parameters on the amount of core areas
>> of mallards (71 different mallards with measurements on several days), I'm
>> trying to fit the following model to my data:
>>
>> model1 <- lmer(Core_areas  ~ c_MaxTemp + I(c_MaxTemp^2) + c_MinTemp + I(
>> c_MinTemp^2) + c_GemTemp + I(c_GemTemp^2) + c_D.rain + c_S.rain +
>> c_Gemwind +
>> c_Hwind + c_Lwind + (1 | Mallard)   # random slope | random factor (here
>> individual is random factor), family = poisson)
>>
>> But then I get the following warning message:
>>
>> In mer_finalize(ans) : false convergence (8)
>> What consequences does this have? And had anybody an idea how I can solve
>> this??
>>
>
>
> Center your covariates...or even better...standardize them
>
> Alain
>
>> Best,
>>
>> Tara
>>
>>
>> Wit
>>
>
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