[R-sig-ME] question about a GAM model

[dani]

Thank you very much Udita and Dr. Bolker for your responses.

It is still not clear to me how should I proceed. Would anyone else be able help with this issue,?

Best regards,

Dani


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________________________________
From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> on behalf of Ben Bolker <bbolker using gmail.com>
Sent: Tuesday, August 28, 2018 6:19 AM
To: r-sig-mixed-models using r-project.org
Subject: Re: [R-sig-ME] question about a GAM model



   Don't forget to run k.check() on your model to see if you specified a
large enough basis dimension  to start with ...

On 2018-08-28 05:51 AM, Bansal, Udita wrote:
> Hi Dani,
>
> I don�t know much about GAM but I know you can look at the plots for fitted model results to check if there is any curvature. You can use the following code:
>
> par(mfrow = c(1,3))
> plot(GAMmodel)
>
> Bests
> Udita
>
> On 28/08/18, 1:58 AM, "R-sig-mixed-models on behalf of dani" <r-sig-mixed-models-bounces using r-project.org on behalf of orchidn using live.com> wrote:
>
>     Hi everyone,
>
>
>     I have a question about a GAM model where I included three non-parametric terms. I obtained the results below. can I conclude that the associations were in fact linear and run a final GLM model without including splines? To me it seems unnecessary to include splines in the final model. How should I report these results?
>
>
>     # Approximate significance of smooth terms:
>     #                 edf Ref.df Chi.sq p-value
>     # s(x1)      1.61   2.01   1.17   0.550
>     # s(x2)      1.00   1.00   0.00   0.955
>     # s(x3)      1.00   1.00   4.61   0.032 *
>
>     Thank you very much,
>     Dani
>
>
>
>
>
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