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.


Reference manual

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1.1.0 by Bo Zhang, 2 months ago

Browse source code at

Authors: Bo Zhang [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ggplot2, mvnfast, rcbalance, Rcpp, stats, utils

Suggests dplyr, knitr, optmatch, RItools, rmarkdown

Linking to Rcpp

See at CRAN