title: Dropping Random effect term in predict() from glmmTMB
body: <p>I am running a generalized linear mixed effect model using the glmmTMB package to analyse number of bite wounds in a wild predator.</p>
  <p>my model:</p>
  <pre><code>Mod&lt;-glmmTMB(all~Sex+class+sseason+timeR+class:timeR+(1|Microchip)+(1|olre), data = mydata_select, family = nbinom1, REML = FALSE, na.action = na.fail)
  </code></pre>
  <p>My data is overdispersed, thus I have added an observation level random effect. I would like to use the predict function to predict number of bite wounds based on the model. I know that for a glmer model I can use the re.form=~(1|Microchip) to ensure it does not include the observation level random effect. However, when using the same formular for glmmTMB i get this message:</p>
  <pre><code>mydata_select$predictAll&lt;-predict(Mod, type= &quot;response&quot;,re.form=~(1|Microchip))
  Error in predict.glmmTMB(SelMod2, type = &quot;response&quot;, re.form = ~(1 | Microchip)) : 
    re.form must equal NULL, NA, or ~0
  </code></pre>
  <p>How can i specify to only account for the Microchip random effect and not the observation level random effect?</p>
  <p>Any suggestions are welcome. I am sure there must be an easy way around this, but I haven't been able to find it.</p>
  <p>Cheers, Sofie</p>