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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 |
| Author: | Ruoqi Yu |
| Maintainer: | Ruoqi Yu <ruoqiyu125 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Additional_repositories: | https://errickson.net/rrelaxiv/ |
| CRAN checks: | bigmatch results |
| Reference manual: | bigmatch.pdf |
| Package source: | bigmatch_0.6.4.tar.gz |
| Windows binaries: | r-devel: bigmatch_0.6.4.zip, r-release: bigmatch_0.6.4.zip, r-oldrel: bigmatch_0.6.4.zip |
| 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 |
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