bigmatch: 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). <doi:10.1214/19-sts699>.
Please use the canonical form
to link to this page.