optmatch: Functions for Optimal Matching

Distance based bipartite matching using the RELAX-IV minimum cost flow solver, oriented to matching of treatment and control groups in observational studies. Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.

Version: 0.9-7
Depends: R (≥ 2.15.1), survival
Imports: Rcpp, RItools, digest, stats, methods, graphics
LinkingTo: Rcpp
Suggests: boot, biglm, testthat (≥ 0.11.0), roxygen2, brglm, arm, knitr, rmarkdown, pander, xtable
Enhances: CBPS
Published: 2016-12-30
Author: Ben B. Hansen, Mark Fredrickson, Josh Buckner, Josh Errickson, and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas and Paul Tseng
Maintainer: Mark M. Fredrickson <mark.m.fredrickson at gmail.com>
License: file LICENSE
URL: https://www.r-project.org, https://github.com/markmfredrickson/optmatch
NeedsCompilation: yes
Citation: optmatch citation info
Materials: README NEWS
In views: Optimization, SocialSciences
CRAN checks: optmatch results


Reference manual: optmatch.pdf
Vignettes: Matching with Optmatch
Using Optmatch with Foreign Software
Package source: optmatch_0.9-7.tar.gz
Windows binaries: r-devel: optmatch_0.9-7.zip, r-release: optmatch_0.9-7.zip, r-oldrel: optmatch_0.9-7.zip
OS X Mavericks binaries: r-release: optmatch_0.9-7.tgz, r-oldrel: optmatch_0.9-7.tgz
Old sources: optmatch archive

Reverse dependencies:

Reverse suggests: MatchIt, MatchItSE, matchMulti, rcbalance, rcbsubset, RcmdrPlugin.EZR
Reverse enhances: RItools


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