Most discrete count models (
nbd and the likes) are only defined for non-negative counts.
If I have negative counts — how should these models be used?
Would it for instance be OK to just "shift" the distributions with a constant representing the minimum value and then back again for predictions?
Are there any count distributions that can be specifically used for modelling negative data?