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.


Reference manual

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1.8.5 by Samuel D. Pimentel, 3 years ago

Browse source code at

Authors: Samuel D. Pimentel

Documentation:   PDF Manual  

MIT + file LICENSE license

Depends on MASS, plyr

Suggests optmatch, testthat

Imported by bigmatch, match2C, thickmatch.

Suggested by rcbsubset.

See at CRAN