RRF v1.7
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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. | |
| importance | Extract variable importance measure | |
| margin | Margins of RRF Classifier | |
| combine | Combine Ensembles of Trees | |
| getTree | Extract a single tree from a forest. | |
| na.roughfix | Rough Imputation of Missing Values | |
| imports85 | The Automobile Data | |
| outlier | Compute outlying measures | |
| rrfNews | Show the NEWS file | |
| varUsed | Variables used in a random forest | |
| tuneRRF | Tune RRF for the optimal mtry parameter | |
| predict.RRF | predict method for random forest objects | |
| RRF | Feature Selection with Regularized Random Forest | |
| varImpPlot | Variable Importance Plot | |
| treesize | Size of trees in an ensemble | |
| rrfImpute | Missing Value Imputations by RRF | |
| rrfcv | Random Forest Cross-Valdidation for feature selection | |
| plot.RRF | Plot method for RRF objects | |
| grow | Add trees to an ensemble | |
| MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from RRF | |
| No Results! | ||
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Details
| Date | 2017-1-25 |
| License | GPL (>= 2) |
| URL | https://sites.google.com/site/houtaodeng/rrf |
| Repository | CRAN |
| Date/Publication | 2017-01-26 12:08:05 |
| Packaged | 2017-01-26 05:10:51 UTC; houtao |
| NeedsCompilation | yes |
| RoxygenNote | 5.0.1 |
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