bst                     Boosting for Classification and Regression
bst.sel                 Function to select number of predictors
bst_control             Control Parameters for Boosting
cv.bst                  Cross-Validation for Boosting
cv.mada                 Cross-Validation for one-vs-all AdaBoost with
                        multi-class problem
cv.mbst                 Cross-Validation for Multi-class Boosting
cv.mhingebst            Cross-Validation for Multi-class Hinge Boosting
cv.mhingeova            Cross-Validation for one-vs-all HingeBoost with
                        multi-class problem
cv.rbst                 Cross-Validation for Nonconvex Loss Boosting
cv.rmbst                Cross-Validation for Nonconvex Multi-class Loss
                        Boosting
ex1data                 Generating Three-class Data with 50 Predictors
loss                    Internal Function
mada                    Multi-class AdaBoost
mbst                    Boosting for Multi-Classification
mhingebst               Boosting for Multi-class Classification
mhingeova               Multi-class HingeBoost
nsel                    Find Number of Variables In Multi-class
                        Boosting Iterations
rbst                    Robust Boosting for Robust Loss Functions
rbstpath                Robust Boosting Path for Nonconvex Loss
                        Functions
rmbst                   Robust Boosting for Multi-class Robust Loss
                        Functions
