bgunter.4567 at gmail.com
Tue Feb 28 07:34:45 CET 2017
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.
"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
> [[alternative HTML version deleted]]
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