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Thanks for inquiring! The maths for a quadratic response model is a bit more involved, and it does not always work out. To fit Tweedie class models, gllvm uses a combination of Laplace and Variational approximations, but the Laplace approximation does not work for a quadratic response model (also noted in van der Veen et al. 2021). So, unfortunately, it will not (any time soon, that is) be possible to fit since it requires a new/completely different fitting method not already implemented in the package. It might be possible to find a suitable workaround though, what type of data are you trying to fit the model to? |
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Hi folks,
I noticed that current versions of
gllvm
have the followingstop()
messages for Tweedie models:Are there plans to enable quadratic models specifying a Tweedie distribution? If this isn't a feature priority at the moment, do any potential workarounds exist?
Thanks!
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