Package index
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coef(<cv.sparsegl>) - Extract coefficients from a `cv.sparsegl` object.
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coef(<sparsegl>) - Extract model coefficients from a `sparsegl` object.
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cv.hierNest() - Cross-validated hierarchical nested regularization for subgroup models
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estimate_risk() - Calculate information criteria.
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zero_norm()one_norm()two_norm()grouped_zero_norm()grouped_one_norm()grouped_two_norm()grouped_sp_norm()gr_one_norm()gr_two_norm()sp_group_norm() - Calculate common norms
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hierNest() - Fit Hierarchical Nested Regularization Model (hierNest)
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make_irls_warmup() - Create starting values for iterative reweighted least squares
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overlapping_gl() - Fit an Overlapping Group Lasso Model
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plot(<cv.hierNest>) - Plot method for cv.hierNest objects
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predict(<cv.sparsegl>) - Make predictions from a `cv.sparsegl` object.
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predict(<sparsegl>) - Make predictions from a `sparsegl` object.
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predict_hierNest() - Predict Method for hierNest Objects