Hi,thanks very much,
I have some another questions about GAM models.
First,Is there some restrictions on the sample size? For example,I am
studying
the GDP and foreign direct investment on 29 provinces in China(N=29).Whether
or
not N is too samll? If so,could I use pooled data(N=29,T=5)?
Sec
The point is that you are checking the basis dimension used in the first
model, b, where the basis dimension for s(x2) was set to 6. All the
other model fits are about checking that first one. On checking the
residuals from model b you detect pattern with respect to x2, with an
estimated degree
Hi,everyone,
I am studying the generalized additive model and employ the package 'mgcv'
developed by professor Wood.
However,I can not understand the example listed in check.in function.
For example,
library(mgcv)
set.seed(1)
dat <- gamSim(1,n=400,scale=2)
## fit a GAM with quite low `k'
b<-gam
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