designmatch: Construction of Optimally Matched Samples for Randomized Experiments and Observational Studies 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 'GLPK' 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 http://user.gurobi.com/download/gurobi-optimizer and http://www.gurobi.com/documentation/6.5/refman/r_api_overview.html. We have also included directions in the gurobi_installation file in the inst folder.

Version: 0.2.0
Depends: R (≥ 3.2), lattice, MASS, slam, Rglpk
Suggests: gurobi, Rcplex, Rsymphony
Published: 2016-08-11
Author: Jose R. Zubizarreta, Cinar Kilcioglu
Maintainer: Jose R. Zubizarreta <zubizarreta at columbia.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
SystemRequirements: GLPK library package (e.g., libglpk-dev on Debian/Ubuntu)
In views: ExperimentalDesign
CRAN checks: designmatch results

Downloads:

Reference manual: designmatch.pdf
Package source: designmatch_0.2.0.tar.gz
Windows binaries: r-devel: designmatch_0.2.0.zip, r-release: designmatch_0.2.0.zip, r-oldrel: designmatch_0.2.0.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: designmatch_0.2.0.tgz
Old sources: designmatch archive

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