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>.

Version: 0.6.4
Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods
Suggests: optmatch, rrelaxiv
Published: 2022-08-11
DOI: 10.32614/CRAN.package.bigmatch
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu125 at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: bigmatch results


Reference manual: bigmatch.pdf


Package source: bigmatch_0.6.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bigmatch_0.6.4.tgz, r-oldrel (arm64): bigmatch_0.6.4.tgz, r-release (x86_64): bigmatch_0.6.4.tgz, r-oldrel (x86_64): bigmatch_0.6.4.tgz
Old sources: bigmatch archive


Please use the canonical form to link to this page.