Looks correct to me. You get a smooth of time for each level of "x", so the
smooths describe the way in which each coefficient of x varies in time.
Note that the time varying coefficient for some level of a factor is actually
given by the sum of the smooth for that factor level, and the estimate
Dear R users,
I have repeated measurements on individuals. I want to estimate the
time-varying effect of a factor variable X (taking three levels), e.g. a
model in the spirit of Hastie and Tibshirani (1993).
I am considering using the package "mgvc" which implements generalized
additive model
Dear R users,
I have repeated measurements on individuals. I want to estimate the
time-varying effect of a factor variable X (taking three levels), e.g. a
model in the spirit of Hastie and Tibshirani (1993).
I am considering using the package "mgvc" which implements generalized
additive models,
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