| balanced.folds | Internal Function |
| bst | Boosting for Classification and Regression |
| bst.sel | Function to select number of predictors |
| bst_control | Control Parameters for Boosting |
| coef.bst | Boosting for Classification and Regression |
| 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 |
| cvfolds | Internal Function |
| error.bars | Internal Function |
| ex1data | Generating Three-class Data with 50 Predictors |
| fpartial.bst | Boosting for Classification and Regression |
| fpartial.mbst | Boosting for Multi-Classification |
| fpartial.mhingebst | Boosting for Multi-class Classification |
| gaussloss | Internal Function |
| gaussngra | Internal Function |
| gradient | Internal Function |
| hingeloss | Internal Function |
| hingengra | Internal Function |
| loss | Internal Function |
| loss.mbst | Internal Function |
| loss.mhingebst | Internal Function |
| mada | Multi-class AdaBoost |
| mbst | Boosting for Multi-Classification |
| mbst_fit | Internal Function |
| mhingebst | Boosting for Multi-class Classification |
| mhingebst_fit | Internal Function |
| mhingeova | Multi-class HingeBoost |
| ngradient | Internal Function |
| nsel | Find Number of Variables In Multi-class Boosting Iterations |
| permute.rows | Internal Function |
| plot.bst | Boosting for Classification and Regression |
| plotCVbst | Internal Function |
| predict.bst | Boosting for Classification and Regression |
| predict.mbst | Boosting for Multi-Classification |
| predict.mhingebst | Boosting for Multi-class Classification |
| print.bst | Boosting for Classification and Regression |
| print.mbst | Boosting for Multi-Classification |
| print.mhingebst | Boosting for Multi-class Classification |
| print.mhingeova | Multi-class HingeBoost |
| rbst | Robust Boosting for Robust Loss Functions |
| rbstpath | Robust Boosting Path for Nonconvex Loss Functions |
| rmbst | Robust Boosting for Multi-class Robust Loss Functions |