I'm new to Aster, so please forgive me if this is a dumb question.
I have a dataset with five columns: A, B, C, D, E
Columns A, B, C are categorical variables, D is a numeric variable, and E is a binary true/false variable. For every combination of A, B, and C I'd like to build a logistic regression model for predicting E based upon the values of D. So, what I'd like my output to be would be a table with rows like:
A, B, C, relevant logistic regression model data
Is this straightforward in Aster? It seems easy to make a single logistic regression model, but is there a way to make many different logistic regression models for various combinations of categorical variables in one command?
Just share my idea, I used GLM to build model. It's support categorial variable mix with numerical. Anyway, might you also look reference from Aster Analytics Foundation Guide.pdf
Hope it could help.