markmfredrickson/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.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.10.5.9001
URL http://optmat.ch 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 Sept. 11, 2022, 3:40 a.m.