#StackBounty: #python #random-forest #random-effects-model Mixed effects random forest (MERF) in Python: random slope or just intercept?

Bounty: 100

Does the MERF implementation in python allow for random slope effects?
If so, how?

I assume yes, and that it is achieved using the Z matrix. With a column of ones for the intercept and a column for the independent variable?

However, if that is the case, as the $b_i$ is drawn from a $N(0,sigma_b)$ distribution, do these $b_i$ adjust an average slope? How is this information accessed in this implementation?

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