Improved Predictors

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Documentation for package ‘ipred’ version 0.9-15

• 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