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The sparse group lasso is a high-dimensional regression technique that isuseful for problems whose predictors have a naturally grouped structure andwhere sparsity is encouraged at both the group and individual predictor level.In this paper we discuss a new R package for computing such regularized models.The intention is to provide highly optimized solution routines enablinganalysis of very large datasets, especially in the context of sparse designmatrices.

sparsegl: An R Package for Estimating Sparse Group Lasso