Making Optimal Matching Size-Scalable Using Optimal Calipers R package bigmatch version 0.6.4 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>. Software Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods Suggests: optmatch, rrelaxiv Ruoqi Yu <ruoqiyu125@gmail.com> Comprehensive R Archive Network (CRAN) Ruoqi Yu MIT + file LICENSE (https://CRAN.R-project.org/package=bigmatch/LICENSE) 2022-08-11 application/tgz https://CRAN.R-project.org/package=bigmatch doi:10.32614/CRAN.package.bigmatch