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.

Maintainer: Mark M. Fredrickson <mark.m.fredrickson at gmail.com>

Author(s): Ben B. Hansen <ben.hansen at umich.edu>, Mark Fredrickson <mark.m.fredrickson at gmail.com>, Josh Buckner, Josh Errickson, and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <dimitrib at mit.edu> and Paul Tseng

Install package and any missing dependencies by running this line in your R console:

install.packages("optmatch")

Depends R (>= 2.15.1), survival
Imports Rcpp, RItools, digest, stats, methods, graphics
Suggests boot, biglm, testthat(>=0.11.0), roxygen2, brglm, arm, knitr, rmarkdown, pander, xtable
Enhances CBPS
Linking to Rcpp
Reverse
depends
Reverse
imports
Reverse
suggests
MatchIt, MatchItSE, matchMulti, rcbalance, rcbsubset, RcmdrPlugin.EZR
Reverse
enhances
RItools
Reverse
linking to

Package optmatch
Materials
URL https://www.r-project.org https://github.com/markmfredrickson/optmatch
Task Views Optimization , SocialSciences
Version 0.9-7
Published 2016-12-30
License file LICENSE
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks optmatch check results
Package source optmatch_0.9-7.tar.gz