optmatch (0.9-6)

Functions for Optimal Matching.

http://www.r-project.org
https://github.com/markmfredrickson/optmatch
http://cran.r-project.org/web/packages/optmatch

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

License: file LICENSE

Uses: digest, Rcpp, RItools, survival, arm, biglm, boot, xtable, brglm, testthat, roxygen2, knitr, pander, rmarkdown
Reverse depends: finebalance, MatchIt, RcmdrPlugin.EZR, SpectralGEM
Reverse suggests: approxmatch, bigmatch, cobalt, DiPs, DOS, MatchIt, MatchItSE, matchMulti, OSDR, rcbalance, rcbsubset, RcmdrPlugin.EZR, RItools, StatMatch, Zelig
Reverse enhances: blockingChallenge, RItools

Released about 3 years ago.