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I've also noticed that pvc() appears to throw those warnings when building the model and would be interested to know if they represent an issue that needs resolution.
Though, it is worth noting that the predict() method works fine when the following model is specified:
mod <- gamlss(prop ~ pvc(age, by = language), data = df)
So, it is not entirely clear to me if the issue resides with pvc() exactly or because there is some sparsity or another issue with overall model specification.
When fitting a gamlss model with
pvc()
, thepredict
method doesn't work.Minimal reprex:
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