Package: bigmatch
Type: Package
Title: Making Optimal Matching Size-Scalable Using Optimal Calipers
Version: 0.6.2
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>
Description: 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>.
License: MIT+file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods
Suggests: optmatch
NeedsCompilation: no
Packaged: 2020-04-10 13:38:16 UTC; ruoqi
Repository: CRAN
Date/Publication: 2020-04-15 00:20:07 UTC
Built: R 3.6.3; ; 2020-08-05 05:13:20 UTC; windows
