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-based method built around a tripartite graph that can simultaneously achieve both goals. A detailed 'RMarkdown' tutorial can be found at < https://github.com/bzhangupenn/match2C/tree/master/tutorial>.


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install.packages("match2C")

0.1.0 by Bo Zhang, 5 months ago


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


Authors: Bo Zhang


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports mvnfast, stats, rcbalance, Rcpp, utils

Suggests optmatch

Linking to Rcpp


See at CRAN