> Call: glmmadmb(formula = rel ~ relevel(month, "6") + treat +
> relevel(month,
>     "6"):treat + (1 | id), data = x, family = "nbinom")
>
> AIC: 1816.1
>
> Coefficients:
>                              Estimate Std. Error z value Pr(>|z|)     (Intercept)                   -1.1843     0.5012   -2.36   0.0181 *
> relevel(month, "6")1           2.0795     0.5307    3.92  8.9e-05 ***
> relevel(month, "6")2           1.7492     0.5421    3.23   0.0013 **
> relevel(month, "6")3          -0.2877     0.7640   -0.38   0.7065
> relevel(month, "6")4          -0.6932     0.8663   -0.80   0.4236
> relevel(month, "6")5           0.5596     0.6271    0.89   0.3722
> treat1                       -16.4542  2132.3000   -0.01   0.9938
> treat2                        -0.0632     0.5382   -0.12   0.9065
> treat3                        -0.7277     0.5850   -1.24   0.2135
> relevel(month, "6")1:treat1   16.2465  2132.3000    0.01   0.9939
> relevel(month, "6")2:treat1   15.9789  2132.3000    0.01   0.9940
> relevel(month, "6")3:treat1   15.6178  2132.3000    0.01   0.9942
> relevel(month, "6")4:treat1   16.0234  2132.3000    0.01   0.9940
> relevel(month, "6")5:treat1   16.3800  2132.3000    0.01   0.9939
> relevel(month, "6")1:treat2    0.0830     0.5697    0.15   0.8842
> relevel(month, "6")2:treat2    0.0616     0.5820    0.11   0.9157
> relevel(month, "6")3:treat2   -1.3610     0.9068   -1.50   0.1334
> relevel(month, "6")4:treat2   -0.6190     0.9653   -0.64   0.5214
> relevel(month, "6")5:treat2   -0.7732     0.6924   -1.12   0.2641
> relevel(month, "6")1:treat3    0.5725     0.6156    0.93   0.3524
> relevel(month, "6")2:treat3    0.5714     0.6275    0.91   0.3625
> relevel(month, "6")3:treat3   -0.5008     0.9352   -0.54   0.5923
> relevel(month, "6")4:treat3    0.0871     1.0040    0.09   0.9309
> relevel(month, "6")5:treat3   -0.1243     0.7369   -0.17   0.8661
> --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
> Number of observations: total=1122, id=187  Random effect variance(s):
> Group=id
>             Variance StdDev (Intercept)  0.01158 0.1076
>
> Negative binomial dispersion parameter: 403.43 (std. err.: 0.43576)
>
> Log-likelihood: -882.067