- Now allows interaction and expression terms without requiring
use.model.frame=TRUE. This works in an additive fashion, ie the formula
~ a + b:c + d*e is treated as consisting of three terms,
d*e each of which is processed independently of the others. A dot in the formula includes all main effect terms, ie
~ . + a:b + f(x) expands to
~ a + b + x + a:b + f(x) (assuming a, b and x are the only columns in the data). Note that a formula like
~ (a + b) + (c + d) will be treated as two terms,
a + b and
c + d.
- The call component of a
cv.glmnet object that uses the original matrix/vector interface is now useful.
- You can now explicitly specify the vector of crossvalidation folds (for the inner loop over lambda) when calling
- Correctly handle non-syntactic factor variables in a formula.