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Multicollinearity problem is related to an excessive correlation of two predictors. In this cases, it does not seem excessive according to the VIF. For the flipping sign of the effect, you probably have confounding or suppressor effect in your model. I recommend checking here, for further details.


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I had the same error and tried running my model with lme4's glmer instead, and got a normal looking VIF output using vif(), so I think it may be an issue with glmmTMB-produced models. I know this was a while ago but hopefully if anyone else has this issue this might help! If you haven't used lme4::glmer() it takes the same syntax as glmmTMB, so you can use ...


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