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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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Jasjeet S. Sekhon (Sat,) studied this question.
synapsesocial.com/papers/69d760d3ef4aa71f97f31056 — DOI: https://doi.org/10.18637/jss.v042.i07
Jasjeet S. Sekhon
Yale University
Journal of Statistical Software
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