While applying glmboost on a dataset I received the following output:
I have a few questions regarding this:
1.Boosting iterations: Since glmboost fits a linear model are 100 linear models tried out before getting the one that minimizes the Squared error??
2.What are the step size and Offset??
3.The co-efficients are the same as in linear regression I guess but how can I also see the R^2 values and the p-values corresponding to each variable.