Random Recursive Partitioning

Documentation for package ‘rrp’ version 2.9

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