coef.sgl | Extracting the nonzero coefficients |
compute_error | Helper function for computing error rates |
create.sgldata | Create a sgldata object |
Err | Generic function for computing error rates |
features | Generic function for extracting nonzero features (or groups) |
features.sgl | Extracting nonzero features |
models | Generic function for extracting the fitted models |
models.sgl | Returns the estimated models (that is the beta matrices) |
nmod | Generic function for counting the number of models |
nmod.sgl | Returns the number of models in a sgl object |
parameters | Generic function for extracting nonzero parameters |
parameters.sgl | Extracting nonzero parameters |
prepare.args | Generic function for preparing the sgl call arguments |
prepare.args.sgldata | Prepare sgl function arguments |
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_cv | Generic sparse group lasso cross validation using multiple... |
sgl_fit | Fit a sparse group lasso regularization path. |
sgl_lambda_sequence | Generic routine for computing a lambda sequence for the... |
sgl_predict | Sgl predict |
sgl_print | Print information about sgl object |
sgl.standard.config | Standard algorithm configuration |
sgl_subsampling | Generic sparse group lasso subsampling procedure |
test.data | Simulated data set |
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