optmatch: Functions for Optimal Matching

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies (Hansen and Klopfer 2006 <doi:10.1198/106186006X137047>). 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.

Package details

AuthorBen Hansen [aut], Mark Fredrickson [aut], Josh Errickson [cre, aut], Josh Buckner [aut], Adam Rauh [ctb]
MaintainerJosh Errickson <jerrick@umich.edu>
LicenseMIT + file LICENSE
URL https://github.com/markmfredrickson/optmatch https://markmfredrickson.github.io/optmatch/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the optmatch package in your browser

Any scripts or data that you put into this service are public.

optmatch documentation built on May 16, 2022, 5:07 p.m.