I have a response variable that is non-normaly distributed (~Gamma). Due to the fact that I have a lot of "contamination", I would need to use a robust mixed-effects model method that is able to remove it. I was thinking on using the package
robustlmm, however, I don't know if I can use it since my data don't follow a normal distribution.
Does anyone know something about that?