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

Bansal, Udita udit@@b@n@@l17 @ending from imperi@l@@c@uk
Tue Aug 28 11:51:58 CEST 2018

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))


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,
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