I am trying to do lme with the library nlme as it is good for ML. If I define the model as:
model<- lme(GHCB~status + age + years_since, random= ~1|Patient/ID, data = cube, na.action = na.omit)
If the model doesn't fit normality, and after assessing all the variables to see which one doesn't have a normal distribution with
I see that none of them is normally distributed. So how should I proceed?
I've tried to log or ^2 the variables but I am not sure how to convert the distribution in a normal distribution, hence, the model is not working.
What do I need to do now? try to convert the variables in "normal" or change the model? and if so, how should I do that?
Thank you very much!! Lili