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.
|Author||Bo Zhang [aut, cre]|
|Maintainer||Bo Zhang <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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