Module simulate 

Predictive distributions from fitted means, for engines that give a mean per row and nothing else (gradient boosting through its Python or R package, an imported network): the family adds the process noise, and several mean vectors (bootstrap refits) add the parameter uncertainty.

Functions

from_means

Joint draws of the responses of n rows, components keyed row = 0, 1, …, as prospicio_glm keys its fits.