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optmatch: Functions for Optimal Matching
Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Getting started
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Package details |
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| Author | Ben Hansen [aut], Mark Fredrickson [aut], Josh Errickson [cre, aut], Josh Buckner [aut], Adam Rauh [ctb] |
| Maintainer | Josh Errickson <jerrick@umich.edu> |
| License | MIT + file LICENSE |
| Version | 0.10.8 |
| URL | http://optmat.ch https://github.com/markmfredrickson/optmatch |
| Package repository | View on CRAN |
| Installation |
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