R: Improved Predictors

# Improved Predictors

## Documentation for package ‘ipred’ version 0.9-9

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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 | 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