Err.msgl                Compute error rates
coef.msgl               Extract nonzero coefficients
features.msgl           Nonzero features
models.msgl             Exstract 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
predict.msgl            Predict
print.msgl              Print function for msgl
sim.data                Simulated data set
