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 |
GBSG2 | German Breast Cancer Study Group 2 |
GlaucomaM | Glaucoma Database |
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 |