EconPapers    
Economics at your fingertips  
 

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R

Jasjeet S. Sekhon

Journal of Statistical Software, 2011, vol. 042, issue i07

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.

Date: 2011-06-14
References: Add references at CitEc
Citations: View citations in EconPapers (128) Track citations by RSS feed

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v042i07/v42i07.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... tching_4.7-13.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v042i07/v42i07.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:042:i07

DOI: 10.18637/jss.v042.i07

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2022-03-21
Handle: RePEc:jss:jstsof:v:042:i07