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MultiObjMatch: Multi-Objective Matching Algorithm

Matching algorithm based on network-flow structure. Users are able to modify the emphasis on three different optimization goals: two different distance measures and the number of treated units left unmatched. The method is proposed by Pimentel and Kelz (2019) <doi:10.1080/01621459.2020.1720693>. The 'rrelaxiv' package, which provides an alternative solver forthe underlying network flow problems, carries anacademic license and is not available on CRAN, butmay be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.

Version:1.0.0
Imports:cobalt,dplyr,optmatch,matchMulti,fields,plyr,RCurl,gtools,rcbalance,MASS, stats, methods,ggplot2, utils,rlang,rlemon
Suggests:testthat (≥ 3.0.0), rrelaxiv
Published:2024-07-04
DOI:10.32614/CRAN.package.MultiObjMatch
Author:Shichao Han [cre, aut], Samuel D. Pimentel [aut]
Maintainer:Shichao Han <schan21 at berkeley.edu>
License:MIT + fileLICENSE
NeedsCompilation:no
Materials:NEWS
CRAN checks:MultiObjMatch results

Documentation:

Reference manual:MultiObjMatch.html ,MultiObjMatch.pdf

Downloads:

Package source: MultiObjMatch_1.0.0.tar.gz
Windows binaries: r-devel:MultiObjMatch_1.0.0.zip, r-release:MultiObjMatch_1.0.0.zip, r-oldrel:MultiObjMatch_1.0.0.zip
macOS binaries: r-release (arm64):MultiObjMatch_1.0.0.tgz, r-oldrel (arm64):MultiObjMatch_1.0.0.tgz, r-release (x86_64):MultiObjMatch_1.0.0.tgz, r-oldrel (x86_64):MultiObjMatch_1.0.0.tgz
Old sources: MultiObjMatch archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MultiObjMatchto link to this page.


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