I am not sure if this is the best place to ask this so if not, please let me know,
however I am using StatsModels to create a mixed effects model that assesses the relationship between a factored predictor and continuous dependent variable, taking into account group effects.
model = smf.mixedlm("continuous_dv ~ factored_predictor", df, groups=df['group'])
The challenge is that the underlying data has a skewed normal distribution, and I am not sure how to fit a mixed model with that distribution in Python?
In R there is a package skewlmm which allows for this, and I am wondering what the counterpart would be in Python (if it exists?).
I have seen the following links
and similar which show how to fit data INTO a skew normal distribution by using skewnormfit()
Any advice or direction would be greatly appreciated!