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 |