match2C: Match One Sample using Two Criteria

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 network-flow-based 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 <>.

Package details

AuthorBo Zhang [aut, cre]
MaintainerBo Zhang <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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match2C documentation built on March 31, 2023, 6:39 p.m.