designmatch: Matched Samples that are Balanced and Representative by Design

Includes functions for the construction of matched samples that are balanced and representative by design. Among others, these functions can be used for matching in observational studies with treated and control units, with cases and controls, in related settings with instrumental variables, and in discontinuity designs. Also, they can be used for the design of randomized experiments, for example, for matching before randomization. By default, 'designmatch' uses the 'highs' optimization solver, but its performance is greatly enhanced by the 'Gurobi' optimization solver and its associated R interface. For their installation, please follow the instructions at <> and <>. We have also included directions in the gurobi_installation file in the inst folder.

Version: 0.5.4
Depends: R (≥ 3.2), lattice, MASS, slam, highs
Enhances: gurobi, Rcplex, Rglpk, Rmosek, Rsymphony
Published: 2023-08-29
DOI: 10.32614/CRAN.package.designmatch
Author: Jose R. Zubizarreta, Cinar Kilcioglu, Juan P. Vielma, Eric R. Cohn
Maintainer: Jose R. Zubizarreta <zubizarreta at>
License: GPL-2 | GPL-3
NeedsCompilation: no
In views: CausalInference, ExperimentalDesign
CRAN checks: designmatch results


Reference manual: designmatch.pdf


Package source: designmatch_0.5.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): designmatch_0.5.4.tgz, r-oldrel (arm64): designmatch_0.5.4.tgz, r-release (x86_64): designmatch_0.5.4.tgz, r-oldrel (x86_64): designmatch_0.5.4.tgz
Old sources: designmatch archive

Reverse dependencies:

Reverse suggests: cobalt


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