simple effects for models with only categorical predictors

cat_plot() allows you to probe interactions betwene categorical predictors. It's not clear to me whether you coulod also do a simple effects analysis (e.g. look at the effect of factor A at each level of factor B) - I can't see a way to do it, but it's a natural compliment to cat_plot(). Any plans to impliment a simple effects function for models with only categorical predictors?

Start with the existing cat_plot() entry point and its documentation to understand how categorical interactions are currently probed. Define what a simple-effects workflow should accept and return for models with only categorical predictors; done means the requested capability has a clear, documented scope and is covered by appropriate project tests.

Written by the indexing model from the issue text.