Err.msgl                Compute error rates
PrimaryCancers          Primary cancer samples.
SimData                 Simulated data set
best_model.msgl         Index of best model
classes                 Class vector
coef.msgl               Nonzero coefficients
cv                      Cross Validation
features.msgl           Nonzero features
features_stat.msgl      Extract feature statistics
fit                     Fit a multinomial sparse group lasso
                        regularization path.
lambda                  Computes a lambda sequence for the
                        regularization path
models.msgl             Extract the fitted models
msgl-package            Multinomial logistic regression with sparse
                        group lasso penalty.
msgl.algorithm.config   Create a new algorithm configuration
msgl.c.config           Featch information about the C side
                        configuration of the package
msgl.standard.config    Standard msgl algorithm configuration
nmod.msgl               Number of models used for fitting
parameters.msgl         Nonzero parameters
parameters_stat.msgl    Extracting parameter statistics
predict.msgl            Predict
print.msgl              Print function for msgl
subsampling             Multinomial sparse group lasso generic
                        subsampling procedure
x                       Design matrix
