Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R | Sekhon | Journal of Statistical Software
Authors: Jasjeet S. Sekhon
Title: Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R
Abstract: Matching is an R package which provides functions for multivariate and propensity score matching and for finding optimal covariate balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance actually has been obtained are provided. The underlying matching algorithm is written in C++, makes extensive use of system BLAS and scales efficiently with dataset size. The genetic algorithm which finds optimal balance is parallelized and can make use of multiple CPUs or a cluster of computers. A large number of options are provided which control exactly how the matching is conducted and how balance is evaluated.

Page views:: 14976. Submitted: 2007-02-07. Published: 2011-06-14.
Paper: Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R     Download PDF (Downloads: 15835)
Supplements:
Matching_4.7-13.tar.gz: R source package Download (Downloads: 1376; 276KB)
v42i07.R: R example code from the paper Download (Downloads: 1483; 8KB)
DOI: 10.18637/jss.v042.i07

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.