rcbalance: Large, Sparse Optimal Matching with Refined Covariate Balance
Tools for large, sparse optimal matching of treated units
and control units in observational studies. Provisions are
made for refined covariate balance constraints, which include
fine and near-fine balance as special cases. Matches are
optimal in the sense that they are computed as solutions to
network 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 for
the underlying network flow problems, carries an
academic license and is not available on CRAN, but
may be downloaded from Github at
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