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.


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install.packages("match2C")

1.1.1 by Bo Zhang, 3 months ago


Browse source code at https://github.com/cran/match2C


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