| sglOptim-package | sglOptim: Generic Sparse Group Lasso Solver |
| add_data | Add data to a sgldata data object |
| add_data.sgldata | Add data to a sgldata data object |
| best_model | Index of best model |
| best_model.sgl | Index of best model |
| coef.sgl | Extracting the nonzero coefficients |
| compute_error | Helper function for computing error rates |
| create.sgldata | Create a sgldata object |
| element_class | Retur the element class of an object. |
| Err | Generic function for computing error rates |
| Err.sgl | Error Rates |
| features | Extracts nonzero features |
| features.sgl | Extracting nonzero features |
| features_stat | Extract feature statistics |
| features_stat.sgl | Extract feature statistics |
| get_coef | Get the nonzero coefficients |
| models | Extract fitted models |
| models.sgl | Extract the estimated models |
| nmod | Number of models used for fitting |
| nmod.sgl | Returns the number of models in a sgl object |
| parameters | Extracts nonzero parameters |
| parameters.sgl | Extracting nonzero parameters |
| parameters_stat | Extract parameter statistics |
| parameters_stat.sgl | Extracting parameter statistics |
| prepare.args | Generic function for preparing the sgl call arguments |
| prepare.args.sgldata | Prepare sgl function arguments |
| prepare_data | Prepare a sgldata data object |
| print_with_metric_prefix | Print a numeric with metric prefix |
| rearrange | Generic rearrange function |
| rearrange.sgldata | Rearrange sgldata |
| sgl.algorithm.config | Create a new algorithm configuration |
| sgl.c.config | Featch information about the C side configuration of the package |
| sgl.standard.config | Standard algorithm configuration |
| sglOptim | sglOptim: Generic Sparse Group Lasso Solver |
| sgl_cv | Generic sparse group lasso cross validation using multiple possessors |
| sgl_fit | Fit a Sparse Group Lasso Regularization Path. |
| sgl_lambda_sequence | Computing a Lambda Sequence |
| sgl_predict | Predict |
| sgl_print | Print information about sgl object |
| sgl_subsampling | Generic sparse group lasso subsampling procedure |
| sgl_test | Test a sgl-Objective |
| sparseMatrix_from_C_format | Convert to sparse matrix |
| sparseMatrix_to_C_format | Prepare sparse matrix for .Call |
| subsample | Subsample |
| subsample.sgldata | Subsample sgldata |
| test.data | Simulated data set |
| test_rtools | Test internal rtools |
| transpose_response_elements | Transpose response elements |