articleJournal of Statistical SoftwareJan 1, 2011DIAMOND OA

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

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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.

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Authors

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Topics & keywords

Keywords
  • Univariate
  • Multivariate statistics
  • Matching (statistics)
  • Covariate
  • Propensity score matching
  • Computer science
  • Balance (ability)
  • Genetic algorithm
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