mgcv 0.9 will handle missing values properly (provided you are happy that
dropping them is 'proper'). There is a pre-release version at:
www.stats.gla.ac.uk/~simon/simon/mgcv.html
(it is a pre-release version, so there will be bugs, reports of which
gratefully received!)
simon
Thank you for all the responses on generalized additive models(gam) and
missing values. I am now able set up a model using gam and have a certain
understanding of how R deals with missing values.
The problem is, however, I am still not able to a gam model that is from a
dataset that contains missing values.
The function
C-gam(depvar~var1+var2+s(var3), data=dataset)
Returns the errors
Error in na.omit.default() : Argument object is missing, with no default
Again, can anyone help a newbie.
Tor
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