I am just getting acquainted with the discrim package and with discriminant analysis in general (discriminant analysis and its varieties are a little new to me).
I suppose my question is fairly straight forward: are there any computational engines (and corresponding tuning parameters) supported by the
discrim package that will shrink model coefficients down to zero?
I see here that using the
mda engine will allow for ridge/weight decay regularization. Is there anything available that would be more akin to L1 regularization? I am well-acquainted with lasso regression using
glmnet, but I was wondering if something similar was available for discriminant analysis in the tidymodels framework.