Err                     Generic function for computing error rates
Err.sgl                 Error Rates
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.
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
