[R] how to visualise the smoothers of a model averaged GAM ?

[fmoreira]

Hi,

It is not clear to me what a model-averaged (sensu MuMIn package) GAM is...
How is the smoother averaged and how can I see it ?

My model is:

M.gam.auto <- gam (Leksite ~ s(Altmean,k=4) + s(Class_unfav_prop, k=4) + 
               + s(Visib2000, k=4) + s(Ddisturbance, k=4) + s(Steppe_prop,
k=4)
                  + s(autocov2, k=4), family=binomial, data= leks)

When i extract the confidence intervals for the average models (all models
with delta AIC <2), I get:

> confint (avgmod)
                             2.5 %       97.5 %
(Intercept)           -0.705495919  0.090974395
s(Altmean).1          -1.032000478  0.846255206
s(Altmean).2          -0.131526964  3.181165030
s(Altmean).3          -0.479038766  1.511470593
s(autocov2).1         -0.594732400  5.030680753
s(autocov2).2         -3.932830030 18.377288299
s(autocov2).3         -5.859925892  3.269061133
s(Ddisturbance).1     -0.324700903  0.609412974
s(Ddisturbance).2     -0.016172651  5.880936668
s(Ddisturbance).3     -0.881357264  0.862160976
s(Steppe_prop).1      -0.002864215  0.002861629
s(Steppe_prop).2      -0.022374707  0.022389396
s(Steppe_prop).3       0.191842041  1.242861265
s(Class_unfav_prop).1 -0.119628517  0.109562147
s(Class_unfav_prop).2 -0.246237564  0.274136388
s(Class_unfav_prop).3 -0.588583036  0.189353845
s(Visib2000).1        -0.003592773  0.003593891
s(Visib2000).2        -0.012680896  0.012686619
s(Visib2000).3        -0.489773942  0.206553913

Not sure of this means nor how to visualize the smoothers...
Help would be appreciated.


Francisco Moreira
Institute of Agronomy
Technical University of Lisbon



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