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ario
2007 Oct 03
1
How to avoid overfitting in gam(mgcv)
...rfitting is to set the basis
dimension "k" at very low values
(3 to 5). However, I don't think this is reasonable because knots
selection will then be an
important issue.
Is there any other means to avoid overfitting when alalyzing small datasets?
Thank you for your help in advance,
Ariyo Kanno
--
Ariyo Kanno
1st-year doctor's degree student at
Institute of Environmental Studies,
The University of Tokyo
2007 Oct 04
1
Convergence problem in gam(mgcv)
Dear all,
I'm trying to fit a pure additive model of the following formula :
fit <- gam(y~x1+te(x2, x3, bs="cr"))
,with the smoothing parameter estimation method "magic"(default).
Regarding this, I have two questions :
Question 1 :
In some cases the value of "mgcv.conv$fully.converged" becomes
"FALSE", which tells me that the method stopped with a