I have 2 questions regarding using glinternet:
- For continuous response variables, is there a distribution assumption for Normal to use the model?
- To encode Categorical predictor variable, does the function accept dummy coding? such as after using model.matrix? Or it only accepts encoded as 0, 1, 2, 3, ... as the package doc describes?