Dear listeners, in order to analyze a dataset, which includes more than 30k records, I'm using a general GAMM like y~s(x)+s(y)+z+e with a underlying normal distribution. Unfortunately, I have some problems with over- and underfittings in smooth-functions at the same time. In general there is the possibility to set up a gamma like gamma=1.4 in order to avoid overfitting in the smooth-functions. In my case I would need different gammas for different smooth-functions, because s(x) is overfitted and s(y) underfitted currently. So, is there any possibility to set up a gamma for each smooth-function separately?
I really would appreciate your responses! Thanks a lot! Best Mike -- View this message in context: http://r.789695.n4.nabble.com/Generalized-Additive-Models-gamma-against-overfitting-tp4680364.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
