R: Regularized Random Forest

# Regularized Random Forest

## Documentation for package ‘RRF’ version 1.9.4.1

- DESCRIPTION file
- Package NEWS

## Help Pages

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