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 |