Improved Predictors
Bagging Classification, Regression and Survival Trees
Bootstrap Error Rate Estimators
Control Error Rate Estimators
Cross-validated Error Rate Estimators.
Estimators of Prediction Error
Indirect Bagging
Indirect Classification
Internal ipred functions
k-Nearest Neighbour Classification
Subsamples for k-fold Cross-Validation
Predictions Based on Linear Models
Predictions from Bagging Trees
Predictions from an Inbagg Object
Predictions from an Inclass Object
Predictions from k-Nearest Neighbors
Predictions from Stabilised Linear Discriminant Analysis
Print Method for Bagging Trees
Print Method for Error Rate Estimators
Print Method for Inbagg Object
Print Method for Inclass Object
Pruning for Bagging
Simulate Survival Data
Model Fit for Survival Data
Stabilised Linear Discriminant Analysis
Summarising Bagging
Summarising Inbagg
Summarising Inclass
Simulation Model
Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.