| bagging | Bagging Classification, Regression and Survival Trees |
| bootest | Bootstrap Error Rate Estimators |
| control.errorest | Control Error Rate Estimators |
| cv | Cross-validated Error Rate Estimators. |
| DLBCL | Diffuse Large B-Cell Lymphoma |
| dystrophy | Detection of muscular dystrophy carriers. |
| errorest | Estimators of Prediction Error |
| GlaucomaMVF | Glaucoma Database |
| inbagg | Indirect Bagging |
| inclass | Indirect Classification |
| ipred-internal | Internal ipred functions |
| ipredknn | k-Nearest Neighbour Classification |
| kfoldcv | Subsamples for k-fold Cross-Validation |
| mypredict.lm | Predictions Based on Linear Models |
| predict.bagging | Predictions from Bagging Trees |
| predict.inbagg | Predictions from an Inbagg Object |
| predict.inclass | Predictions from an Inclass Object |
| predict.ipredknn | Predictions from k-Nearest Neighbors |
| predict.slda | Predictions from Stabilised Linear Discriminant Analysis |
| print.bagging | Print Method for Bagging Trees |
| print.cvclass | Print Method for Error Rate Estimators |
| print.inbagg | Print Method for Inbagg Object |
| print.inclass | Print Method for Inclass Object |
| prune.bagging | Pruning for Bagging |
| rsurv | Simulate Survival Data |
| sbrier | Model Fit for Survival Data |
| slda | Stabilised Linear Discriminant Analysis |
| Smoking | Smoking Styles |
| summary.bagging | Summarising Bagging |
| summary.inbagg | Summarising Inbagg |
| summary.inclass | Summarising Inclass |
| varset | Simulation Model |
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