Distance based bipartite matching using the RELAX-IV minimum cost flow solver, oriented to matching of treatment and control groups in observational studies. 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.
|Author||Ben B. Hansen <email@example.com>, Mark Fredrickson <firstname.lastname@example.org>, Josh Buckner, Josh Errickson, Adam Rauh and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <email@example.com> and Paul Tseng|
|Maintainer||Mark M. Fredrickson <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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