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. A detailed explanation of the workflow and numerous examples are given in the vignette.

Package details

AuthorBo Zhang [aut, cre]
MaintainerBo Zhang <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN

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match2C documentation built on May 9, 2021, 9:07 a.m.