I have an experimental design with a continous dependent variable (DV), and two factors A and B, factor A has 3 levels and factor B has 2 levels. I checked my DV distribution with the function descdist(DV), from the fitdistrplus package, and my DV is distributed as a uniform distribution. In fact when I fitted my data into a uniform distribution with the function fitdist(DV, distr="unif", method="mme"), I found a perfect overlap.
My purpose was to run a Generalized Mixed Model, but given that uniform family distribution is not supported automatically in the families of the glmer function, I don't know how to fit properly the model so that it could take in account the uniform distribution of my DV.
Have you any suggestion?