[R-sig-ME] GLMM with negatively skewed data distribution

[Reinhold Kliegl]

How about scale inversion, i.e. relabeling 0:100 to 100:0?
Reinhold Kliegl

2011/11/12 Balázs Lestár <lestar70 at gmail.com>:
> 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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