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 protected]>, Mark Fredrickson <[email protected]>, Josh Buckner, Josh Errickson, and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <[email protected]> and Paul Tseng|
|Maintainer||Mark M. Fredrickson <[email protected]>|
|Package repository||View on GitHub|
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