Multivariate matching in observational studies typically has two goals: 1. to construct treated and control groups that have similar distribution of observed covariates and 2. to produce matched pairs or sets that are homogeneous in a few priority variables. This packages implements a networkflowbased method built around a tripartite graph that can simultaneously achieve both goals. The package also implements a template matching algorithm using a variant of the tripartite graph design. A brief description of the workflow and some examples are given in the vignette. A more elaborated tutorial can be found at <https://www.researchgate.net/publication/359513837_Tutorial_for_R_Package_match2C>.
Package details 


Author  Bo Zhang [aut, cre] 
Maintainer  Bo Zhang <bzhang3@fredhutch.org> 
License  MIT + file LICENSE 
Version  1.2.4 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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