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| rrp-package | Implementation of the Random Recursive Partitionig algorithm |
| addDist | Adds constant to the elements of a dist object vector-wise |
| DW | Dehejia-Wahba dataset |
| DWvsCPS | Dehejia-Wahba treated units versus CPS control individuals |
| DWvsPSID | Dehejia-Wahba treated units versus PSID control individuals |
| LL | Lalonde dataset |
| LLvsCPS | Lalonde treated units versus CPS control individuals |
| LLvsPSID | Lalonde treated units versus PSID control individuals |
| NSW | National Supported Work (NSW) Demonstration data |
| rrp | Implementation of the Random Recursive Partitionig algorithm |
| rrp.class | Nonparametric nearest neighbor classification using RRP dissimilarity |
| rrp.dist | RRP dissimilarity matrix |
| rrp.impute | Nearest neighbor hot-deck imputation using RRP dissimilarity matrix |
| rrp.predict | Nonparametric nearest neighbor predictor using RRP dissimilarity |
| setDist | Sets the elements of a dist object to a constant vector-wise |
| ST | Smith-Todd dataset |
| STvsCPS | Smith-Todd treated units versus CPS control individuals |
| STvsPSID | Smith-Todd treated units versus PSID control individuals |