Reference

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