Hi All,

I've just met the first negatively skewed distribution of my life!
Challenging. Looks exactly like a Poisson, but with a left skew. I have
discrete data points between 0 and 100.
I tried to look for distribution with left skew, but I couldn't find any
more than:
1. Yeah, they exist, but they are very rare.
2. Transformations like: log(max(x)+1 - x) or sqrt(max(x)+1 - x) might
help. They don't in my case and also I think a GLM with the a fitting
distribution would be much more appropriate.

Does anyone know how to implement negatively skewed distributions in GLMMs?

Bests,
Balazs

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