(CRAN SGL package)
First order method to fit the sparse-group lasso: a combination of lasso and group lasso penalties. The sparse-group lasso should be used when features have a natural grouping where both group-wise and overall sparsity is suspected. The model is fit for a path of values of the penalty parameter. Can be used for linear, logistic or Cox models.