[R] concurvity

[Bert Gunter]

Eva:

Yours is a statistical question, which is generally off topic here.
While you may get a reply, I think you would do better to post on a
statistics list like stats.stackexchange.com. Even better, I think,
would be to consult a local statistical expert, as it sounds like you
are fairly confused about the "concurvity" issues and may need a 1-1
discussion about what is appropriate in your application context.

Cheers,
Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Feb 27, 2017 at 1:27 PM, Eva Maria Leunissen
<eva.leunissen at gmail.com> wrote:
> 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.
>
> Thanks in advance
>
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>
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