I’m using a truncated quantile (median) regression (using
asym_laplace) of the type
bf(Y | trunc(lb = 0) ~ 1 + x + (1 | id1) + (1 + x | id2), quantile = 0.5),
and would like to get conditional effects via
marginal_effects. brms tells me
Error: Fitted values on the respone scale not yet implemented for truncated 'asym_laplace' models.
My question: How difficult and effortful would it be (for me?) to properly implement that functionality and how would I approach this? And if it’s too difficult and effortful, is there a workaround I can use to create the kind of data
marginal_effects is producing?
- Operating System: macOS 10.14.6
- brms Version: 2.10.0