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>.