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:: 20426. Submitted: 2007-02-07. Published: 2011-06-14. |
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Paper: |
Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R
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DOI: |
10.18637/jss.v042.i07
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