The usual method for producing interactions of smooths with factors in
mgcv is using `by' variables (see ?gam.models for some documentation).
For example
if `gender' is a two level factor then
... s(time,by=gender) + gender
would produce a smooth of time for each gender. If you want a differen
I want to use gamm to generate smoothed trend line for three groups
identified by dummy variable genea and geneb. My question is how to add in
an interaction term between the time and another dummy variable such as
gender?
fitm<-gamm(change_gfr~
genea+geneb+s(timea_n,bs="ps")+s(timeb_n,bs="ps")+s
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