I’m trying to model an outcome that’s effectively log-normal. However, there’s also a large “zero-inflation” on top of this. I put that in quotes because only familiar with models for zero-inflation for count data, so I’m not positive how to implement this in the context of a continuous distribution…

I needed a similar likelihood (actually two) for an insurance loss-cost frequency-severity model. You sometimes see these referred to as “zero-augmented” likelihoods, since the non-zero marginal dist isn’t defined at x=0. Though many people still call them zero-inflated. In any case I’ve found you…

Modeling Zero-Inflation on continuous outcome

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RavinKumar February 20, 2021, 4:39pm 2

This is an off the cuff answer so don’t take it as true fact, but one trick may to just add 1 to everything and shift the distribution so you can model it

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Modeling Zero-Inflation on continuous outcome

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