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 number of nearest neighbors. Glover, F. (1967). <doi:10.1002/nav.3800140304>. Lipski, W., Jr, and Preparata, F. P. (1981). <doi:10.1007/BF00264533>. Rosenbaum, P.R. (1989). <doi:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <doi:10.1111/j.1541-0420.2011.01691.x>.
Version: | 0.6.2 |
Imports: | rcbalance, stats, liqueueR, plyr, mvnfast, methods |
Suggests: | optmatch |
Published: | 2020-04-15 |
Author: | Ruoqi Yu |
Maintainer: | Ruoqi Yu <ruoqiyu at wharton.upenn.edu> |
License: | file LICENSE |
NeedsCompilation: | no |
CRAN checks: | bigmatch results |
Reference manual: | bigmatch.pdf |
Package source: | bigmatch_0.6.2.tar.gz |
Windows binaries: | r-devel: bigmatch_0.6.2.zip, r-release: bigmatch_0.6.2.zip, r-oldrel: bigmatch_0.6.2.zip |
macOS binaries: | r-release: bigmatch_0.6.2.tgz, r-oldrel: bigmatch_0.6.2.tgz |
Old sources: | bigmatch archive |
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