classCenter |
Prototypes of groups. |
combine |
Combine Ensembles of Trees |
getTree |
Extract a single tree from a forest. |
grow |
Add trees to an ensemble |
grow.default |
Add trees to an ensemble |
grow.RRF |
Add trees to an ensemble |
importance |
Extract variable importance measure |
importance.default |
Extract variable importance measure |
importance.RRF |
Extract variable importance measure |
imports85 |
The Automobile Data |
margin |
Margins of RRF Classifier |
margin.default |
Margins of RRF Classifier |
margin.RRF |
Margins of RRF Classifier |
MDSplot |
Multi-dimensional Scaling Plot of Proximity matrix from RRF |
na.roughfix |
Rough Imputation of Missing Values |
na.roughfix.data.frame |
Rough Imputation of Missing Values |
na.roughfix.default |
Rough Imputation of Missing Values |
outlier |
Compute outlying measures |
outlier.default |
Compute outlying measures |
outlier.RRF |
Compute outlying measures |
partialPlot |
Partial dependence plot |
partialPlot.default |
Partial dependence plot |
partialPlot.RRF |
Partial dependence plot |
plot.margin |
Margins of RRF Classifier |
plot.RRF |
Plot method for RRF objects |
predict.RRF |
predict method for random forest objects |
print.RRF |
Feature Selection with Regularized Random Forest |
RRF |
Feature Selection with Regularized Random Forest |
RRF.default |
Feature Selection with Regularized Random Forest |
RRF.formula |
Feature Selection with Regularized Random Forest |
rrfcv |
Random Forest Cross-Valdidation for feature selection |
rrfImpute |
Missing Value Imputations by RRF |
rrfImpute.default |
Missing Value Imputations by RRF |
rrfImpute.formula |
Missing Value Imputations by RRF |
rrfNews |
Show the NEWS file |
treesize |
Size of trees in an ensemble |
tuneRRF |
Tune RRF for the optimal mtry parameter |
varImpPlot |
Variable Importance Plot |
varUsed |
Variables used in a random forest |