| bagging | Bagging Classification, Regression and Survival Trees |
| bagging.data.frame | Bagging Classification, Regression and Survival Trees |
| bagging.default | Bagging Classification, Regression and Survival Trees |
| bootest | Bootstrap Error Rate Estimators |
| bootest.default | Bootstrap Error Rate Estimators |
| bootest.factor | Bootstrap Error Rate Estimators |
| bootest.integer | Bootstrap Error Rate Estimators |
| bootest.numeric | Bootstrap Error Rate Estimators |
| bootest.Surv | Bootstrap Error Rate Estimators |
| control.errorest | Control Error Rate Estimators |
| cv | Cross-validated Error Rate Estimators. |
| cv.default | Cross-validated Error Rate Estimators. |
| cv.factor | Cross-validated Error Rate Estimators. |
| cv.integer | Cross-validated Error Rate Estimators. |
| cv.numeric | Cross-validated Error Rate Estimators. |
| cv.Surv | Cross-validated Error Rate Estimators. |
| DLBCL | Diffuse Large B-Cell Lymphoma |
| dystrophy | Detection of muscular dystrophy carriers. |
| errorest | Estimators of Prediction Error |
| errorest.data.frame | Estimators of Prediction Error |
| errorest.default | Estimators of Prediction Error |
| GlaucomaMVF | Glaucoma Database |
| inbagg | Indirect Bagging |
| inbagg.data.frame | Indirect Bagging |
| inbagg.default | Indirect Bagging |
| inclass | Indirect Classification |
| inclass.data.frame | Indirect Classification |
| inclass.default | Indirect Classification |
| ipredbagg | Bagging Classification, Regression and Survival Trees |
| ipredbagg.default | Bagging Classification, Regression and Survival Trees |
| ipredbagg.factor | Bagging Classification, Regression and Survival Trees |
| ipredbagg.integer | Bagging Classification, Regression and Survival Trees |
| ipredbagg.numeric | Bagging Classification, Regression and Survival Trees |
| ipredbagg.Surv | Bagging Classification, Regression and Survival Trees |
| ipredknn | k-Nearest Neighbour Classification |
| kfoldcv | Subsamples for k-fold Cross-Validation |
| mypredict.lm | Predictions Based on Linear Models |
| predict.classbagg | 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.regbagg | Predictions from Bagging Trees |
| predict.slda | Predictions from Stabilised Linear Discriminant Analysis |
| predict.survbagg | Predictions from Bagging Trees |
| Print Method for Bagging Trees | |
| print.bootestclass | Print Method for Error Rate Estimators |
| print.bootestreg | Print Method for Error Rate Estimators |
| print.bootestsurv | Print Method for Error Rate Estimators |
| print.classbagg | Print Method for Bagging Trees |
| print.cvclass | Print Method for Error Rate Estimators |
| print.cvreg | Print Method for Error Rate Estimators |
| print.cvsurv | Print Method for Error Rate Estimators |
| print.inbagg | Print Method for Inbagg Object |
| print.inclass | Print Method for Inclass Object |
| print.regbagg | Print Method for Bagging Trees |
| print.summary.bagging | Summarising Bagging |
| print.summary.inbagg | Summarising Inbagg |
| print.summary.inclass | Summarising Inclass |
| print.survbagg | Print Method for Bagging Trees |
| prune.classbagg | Pruning for Bagging |
| prune.regbagg | Pruning for Bagging |
| prune.survbagg | Pruning for Bagging |
| rsurv | Simulate Survival Data |
| sbrier | Model Fit for Survival Data |
| slda | Stabilised Linear Discriminant Analysis |
| slda.default | Stabilised Linear Discriminant Analysis |
| slda.factor | Stabilised Linear Discriminant Analysis |
| slda.formula | Stabilised Linear Discriminant Analysis |
| Smoking | Smoking Styles |
| summary.classbagg | Summarising Bagging |
| summary.inbagg | Summarising Inbagg |
| summary.inclass | Summarising Inclass |
| summary.regbagg | Summarising Bagging |
| summary.survbagg | Summarising Bagging |
| varset | Simulation Model |