it's a pity, but thanks anyway!
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Dear all,
currently I set up a GAM for my dataset (~32k records). I assume a normal
distribution, constant variance and no correlation effects.
With gam.check() it is possible to check those assumptions graphically. But
is there also any option to do quantitative tests like the Wald-Test,
shapi
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
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