One of the big missing features in the stats modelling Julia ecosystem includes marginal effects-related computations (emmeans and marginaleffects in R).
These mostly rely on a processing of model-predictions, which itself relies on the ability to generate datagrids. Datagrids are also very useful for model-based visualization.
I am interested in implementing such a method in Julia, and I think that this package would likely be the best place for it, as it's something fairly generic. What do you think?
One of the big missing features in the stats modelling Julia ecosystem includes marginal effects-related computations (emmeans and marginaleffects in R).
These mostly rely on a processing of model-predictions, which itself relies on the ability to generate datagrids. Datagrids are also very useful for model-based visualization.
I am interested in implementing such a method in Julia, and I think that this package would likely be the best place for it, as it's something fairly generic. What do you think?