rrp-package |
Implementation of the Random Recursive Partitionig algorithm |
addDist |
Adds constant to the elements of a dist object vector-wise |
addXPtr |
Adds constant to the elements of a XPtr object vector-wise |
applyXPtr |
Apply facility for objects of class XPtr |
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 |
mulXPtr |
Multiplies the elements of a XPtr object by a constant vector-wise |
newXPtr |
Creates a new XPtr object |
NSW |
National Supported Work (NSW) Demonstration data |
rank.dist |
rank-based dissimilarity matrix |
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 |
setXPtr |
Sets the elements of a XPtr 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 |
XPtrToDist |
Coercion from an XPtr object into a dist one |