best_model.msgl | Index of best model |
coef.msgl | Extract nonzero coefficients |
Err.msgl | Compute error rates |
features.msgl | Nonzero features |
features_stat.msgl | Extract feature statistics |
models.msgl | Extract the fitted models |
msgl | Fit a multinomial sparse group lasso regularization path. |
msgl.algorithm.config | Create a new algorithm configuration |
msgl.cv | Multinomial sparse group lasso cross validation |
msgl.lambda.seq | Computes a lambda sequence for the regularization path |
msgl.standard.config | Standard msgl algorithm configuration |
msgl.subsampling | Multinomial sparse group lasso generic subsampling procedure |
nmod.msgl | Returns the number of models in a msgl object |
parameters.msgl | Nonzero parameters |
parameters_stat.msgl | Extracting parameter statistics |
predict.msgl | Predict |
print.msgl | Print function for msgl |
sim.data | Simulated data set |