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??

Best,

Tara


With the summary function I get the following:

summary(model2)

Generalized linear mixed model fit by the Laplace approximation

Formula: 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)

   AIC   BIC logLik deviance

 366.3 434.3 -170.1    340.3

Random effects:

 Groups  Name        Variance Std.Dev.

 Mallard (Intercept) 0.1369   0.37

Number of obs: 1383, groups: Mallard, 71


Fixed effects:

                 Estimate Std. Error z value Pr(>|z|)

(Intercept)     8.296e-01  5.224e-02  15.881   <2e-16 ***

c_MaxTemp       4.187e-03  2.448e-03   1.710   0.0872 .

I(c_MaxTemp^2) -2.151e-05  2.558e-05  -0.841   0.4003

c_MinTemp       1.964e-03  2.122e-03   0.926   0.3545

I(c_MinTemp^2)  1.545e-06  2.326e-05   0.066   0.9470

c_GemTemp      -5.740e-03  4.419e-03  -1.299   0.1940

I(c_GemTemp^2) -1.122e-05  4.990e-05  -0.225   0.8221

c_D.rain        3.190e-04  1.240e-03   0.257   0.7970

c_S.rain        5.770e-04  7.924e-04   0.728   0.4665

c_Gemwind      -3.149e-04  4.174e-03  -0.075   0.9399

c_Hwind         1.488e-04  2.123e-03   0.070   0.9441

c_Lwind         1.520e-03  3.023e-03   0.503   0.6150

---

Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1


Correlation of Fixed Effects:

            (Intr) c_MxTm I(c_MxT^2) c_MnTm I(c_MnT^2) c_GmTm I(_GT^ c_D.rn
c_S.rn c_Gmwn c_Hwnd

c_MaxTemp    0.064


I(c_MxTm^2) -0.161 -0.030


c_MinTemp   -0.009  0.683  0.205


I(c_MnTm^2) -0.174  0.089  0.675      0.328


c_GemTemp   -0.030 -0.907 -0.123     -0.908 -0.228


I(c_GmTm^2)  0.099 -0.072 -0.921     -0.298 -0.859      0.219


c_D.rain     0.012  0.069 -0.168      0.004 -0.184     -0.047  0.201


c_S.rain    -0.030 -0.026  0.112      0.023  0.157      0.002 -0.142
-0.755

c_Gemwind    0.012  0.166  0.032      0.082 -0.106     -0.143  0.022  0.062
-0.054

c_Hwind     -0.057 -0.195  0.069     -0.043  0.151      0.149 -0.090 -0.182
-0.018 -0.829

c_Lwind     -0.028 -0.135 -0.124     -0.221  0.069      0.192  0.068
0.014  0.022 -0.831  0.535

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