rrp.package: Implementation of the Random Recursive Partitionig algorithm

Description Details Author(s) References


This package implements the RRP algorithm introduced in Iacus-Porro (2009) and different functions to for the applications described in Iacus-Porro (2007). It also contains benchmark datasets in econometric average treatment effect estimation taken from the Lalonde (1986) paper.


Package: rrp
Type: Package
Version: 1.0
Date: 2006-02-13
License: GPL Version 2 or later.

The main function is rrp.dist


Stefano M. Iacus

Maintainer: Stefano M. Iacus <[email protected]>


Iacus, S.M., Porro, G. (2009) Random Recursive Partitioning: a matching method for the estimation of the average treatment effect, Journal of Applied Econometrics, 24, 163-185.

Iacus, S.M., Porro, G. (2007) Missing data imputation, matching and other applications of random recursive partitioning, Computational Statistics and Data Analysis, 52, 2, 773-789.

Lalonde, R. (1986) Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76, 604-620.

rrp documentation built on May 31, 2017, 3:29 a.m.

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