RRF v1.9.1
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Regularized Random Forest
Feature Selection with Regularized Random Forest. This
package is based on the 'randomForest' package by Andy Liaw.
The key difference is the RRF() function that builds a
regularized random forest.
Functions in RRF
Name | Description | |
classCenter | Prototypes of groups. | |
combine | Combine Ensembles of Trees | |
predict.RRF | predict method for random forest objects | |
plot.RRF | Plot method for RRF objects | |
varImpPlot | Variable Importance Plot | |
tuneRRF | Tune RRF for the optimal mtry parameter | |
rrfcv | Random Forest Cross-Valdidation for feature selection | |
treesize | Size of trees in an ensemble | |
outlier | Compute outlying measures | |
partialPlot | Partial dependence plot | |
rrfImpute | Missing Value Imputations by RRF | |
rrfNews | Show the NEWS file | |
varUsed | Variables used in a random forest | |
importance | Extract variable importance measure | |
na.roughfix | Rough Imputation of Missing Values | |
getTree | Extract a single tree from a forest. | |
MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from RRF | |
margin | Margins of RRF Classifier | |
RRF | Feature Selection with Regularized Random Forest | |
imports85 | The Automobile Data | |
grow | Add trees to an ensemble | |
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Details
Date | 2018-07-16 |
License | GPL (>= 2) |
URL | https://sites.google.com/site/houtaodeng/rrf |
Repository | CRAN |
Date/Publication | 2019-07-02 15:37:59 |
Packaged | 2019-07-02 13:35:50 UTC; ripley |
NeedsCompilation | yes |
RoxygenNote | 5.0.1 |
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