Making Optimal Matching Size-Scalable Using Optimal Calipers

Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors, and nfmatch() to find a near-fine balance match with a caliper and a restriction on the number of nearest neighbors. Yu, R., Silber, J. H., and Rosenbaum, P. R. (2020). .


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install.packages("bigmatch")

0.6.4 by Ruoqi Yu, 4 years ago


Browse source code at https://github.com/cran/bigmatch


Authors: Ruoqi Yu


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports rcbalance, stats, liqueueR, plyr, mvnfast, methods

Suggests optmatch, rrelaxiv


See at CRAN