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nbpMatching  

Functions for Optimal Non-Bipartite Matching
View on CRAN: Click here


Download and install nbpMatching package within the R console
Install from CRAN:
install.packages("nbpMatching")

Install from Github:
library("remotes")
install_github("cran/nbpMatching")

Install by package version:
library("remotes")
install_version("nbpMatching", "1.5.4")



Attach the package and use:
library("nbpMatching")
Maintained by
Cole Beck
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-18
Latest Update: 2023-08-19
Description:
Perform non-bipartite matching and matched randomization. A "bipartite" matching utilizes two separate groups, e.g. smokers being matched to nonsmokers or cases being matched to controls. A "non-bipartite" matching creates mates from one big group, e.g. 100 hospitals being randomized for a two-arm cluster randomized trial or 5000 children who have been exposed to various levels of secondhand smoke and are being paired to form a greater exposure vs. lesser exposure comparison. At the core of a non-bipartite matching is a N x N distance matrix for N potential mates. The distance between two units expresses a measure of similarity or quality as mates (the lower the better). The 'gendistance()' and 'distancematrix()' functions assist in creating this. The 'nonbimatch()' function creates the matching that minimizes the total sum of distances between mates; hence, it is referred to as an "optimal" matching. The 'assign.grp()' function aids in performing a matched randomization. Note bipartite matching can be performed using the prevent option in 'gendistance()'.
How to cite:
Cole Beck (2009). nbpMatching: Functions for Optimal Non-Bipartite Matching. R package version 1.5.4, https://cran.r-project.org/web/packages/nbpMatching
Previous versions and publish date:
1.0 (2009-09-18 22:47), 1.3.2 (2012-10-29 08:59), 1.3.6 (2012-11-05 20:58), 1.4.0 (2013-04-17 17:28), 1.4.4 (2015-01-21 01:00), 1.4.5 (2015-05-15 00:25), 1.5.0 (2016-01-13 22:36), 1.5.1 (2016-04-19 08:12), 1.5.4 (2023-08-19 02:12)
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