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>.
Package details |
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Author | Ruoqi Yu |
Maintainer | Ruoqi Yu <ruoqiyu125@gmail.com> |
License | MIT + file LICENSE |
Version | 0.6.4 |
Package repository | View on CRAN |
Installation |
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