[R-sig-ME] false convergence of lmer model

Highland Statistics Ltd highstat at highstat.com
Wed Jul 24 10:56:45 CEST 2013




> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 23 Jul 2013 13:51:49 +0200
> From: Tara Woud <t.y.woud at students.uu.nl>
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] false convergence of lmer model
> Message-ID:
> 	<CAPXVpJnhN326OH3codzQRCwL+pZ0Q1DXdxO22ZToqQYF5rptsQ at 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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