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.
| Version: |
1.1.1 |
| Imports: |
ggplot2, mvnfast, rcbalance, Rcpp, stats, utils |
| LinkingTo: |
Rcpp |
| Suggests: |
dplyr, knitr, optmatch, RItools, rmarkdown |
| Published: |
2021-05-09 |
| Author: |
Bo Zhang [aut, cre] |
| Maintainer: |
Bo Zhang <bozhan at wharton.upenn.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
yes |
| CRAN checks: |
match2C results |
Documentation:
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