Hi, I'm using the concurvity function to check for concurvity in my model. The output I get when comparing to the rest of the model (ie full=TRUE) many of the variables have concurvity values higher than 0.9. However when comparing the terms pairwise most values are very small, less than 0.1 (with the worst around 0.5). I am not sure where to go from here, should the full model output be cause for concern and should I refit the model eliminating some terms with high concurvity? or are the pairwise concurvities more informative? is there anything else I can do? The terms in the model are mostly interactions, with a few smooths and one parametric term.
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