rcbalance: Large, Sparse Optimal Matching with Refined Covariate Balance
Tools for large, sparse optimal matching of treated unitsand control units in observational studies. Provisions aremade for refined covariate balance constraints, which includefine and near-fine balance as special cases. Matches are optimal in the sense that they are computed as solutions tonetwork optimization problems rather than greedy algorithms.See Pimentel, et al.(2015) <doi:10.1080/01621459.2014.997879> and Pimentel (2016), Obs. Studies 2(1):4-23. The rrelaxiv package, which provides an alternative solver forthe underlying network flow problems, carries anacademic license and is not available on CRAN, butmay be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.
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