markmfredrickson/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.

Getting started

Package details

AuthorBen B. Hansen <ben.hansen@umich.edu>, Mark Fredrickson <mark.m.fredrickson@gmail.com>, Josh Buckner, Josh Errickson, Adam Rauh and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <dimitrib@mit.edu> and Paul Tseng
MaintainerMark M. Fredrickson <mark.m.fredrickson@gmail.com>
Licensefile LICENSE
Version0.9-12
URL https://github.com/markmfredrickson/optmatch
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("markmfredrickson/optmatch")
markmfredrickson/optmatch documentation built on May 6, 2021, 6:37 a.m.