rcbalance: Large, Sparse Optimal Matching with Refined Covariate Balance

Tools for large, sparse optimal matching of treated units and control units in observational studies. Provisions are made for refined covariate balance constraints, which include fine and near-fine balance as special cases. Matches are optimal in the sense that they are computed as solutions to network optimization problems rather than greedy algorithms. See Pimentel, et al.(2015) <doi:10.1080/01621459.2014.997879> and Pimentel (2016), Obs. Studies 2(1):4-23. 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/>.

Version: 1.8.8
Depends: R (≥ 3.2.0), MASS, plyr
Imports: rlemon
Suggests: optmatch, testthat, rrelaxiv
Published: 2022-03-25
DOI: 10.32614/CRAN.package.rcbalance
Author: Samuel D. Pimentel
Maintainer: Samuel D. Pimentel <spi at berkeley.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Additional_repositories: https://errickson.net/rrelaxiv/
In views: CausalInference
CRAN checks: rcbalance results


Reference manual: rcbalance.pdf


Package source: rcbalance_1.8.8.tar.gz
Windows binaries: r-devel: rcbalance_1.8.8.zip, r-release: rcbalance_1.8.8.zip, r-oldrel: rcbalance_1.8.8.zip
macOS binaries: r-release (arm64): rcbalance_1.8.8.tgz, r-oldrel (arm64): rcbalance_1.8.8.tgz, r-release (x86_64): rcbalance_1.8.8.tgz, r-oldrel (x86_64): rcbalance_1.8.8.tgz
Old sources: rcbalance archive

Reverse dependencies:

Reverse depends: triplesmatch
Reverse imports: bigmatch, MultiObjMatch, rcbsubset, tightenBlock


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