Package: bigmatch
Type: Package
Title: Making Optimal Matching Size-Scalable Using Optimal Calipers
Version: 0.6.4
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu125@gmail.com>
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 the number of nearest neighbors. 
    Yu, R., Silber, J. H., and Rosenbaum, P. R. (2020). <DOI:10.1214/19-sts699>. 
License: MIT + file LICENSE
Additional_repositories: https://errickson.net/rrelaxiv/
Encoding: UTF-8
LazyData: true
Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods
Suggests: optmatch, rrelaxiv
Note: The optmatch package, which is useful for running many of the
        provided functions, may be downloaded from Github at
        <https://github.com/markmfredrickson/optmatch> if not available
        on CRAN. The rrelaxiv package, which provides an alternative
        solver for the underlying network flow problems, carries an
        academic license and is not available on CRAN, but may be
        downloaded from Github at
        <https://github.com/josherrickson/rrelaxiv/>.
NeedsCompilation: no
Packaged: 2022-07-26 05:08:43 UTC; ruoqiyu
Repository: CRAN
Date/Publication: 2022-08-11 07:40:02 UTC
Built: R 4.6.0; ; 2026-04-27 07:22:28 UTC; unix
