Hello,
I am trying to fit a GAM for a simple model, a simple model, y ~ s(x0) +
s(x1) ; with a constraint that the fitted smooth functions s(x0) and s(x1)
have to each always be >0.

>From the library documentation and a search of the R-site and R-help
archives I have not been able to decipher whether the following is possible
using this, or other GAM libraries, or whether I will have to try to "roll
my own". I see from the mgcv docs that GAMs need to be constrained such that
the smooth functions have zero mean. Is there a way around this?

Is such a constraint possible?
thanks very much for any advice or pointers.
-David

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