Package: match2C
Type: Package
Title: Match One Sample using Two Criteria
Version: 1.2.1
Authors@R: person("Bo", "Zhang", email = "bozhan@wharton.upenn.edu", role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: ggplot2, mvnfast, rcbalance, Rcpp, stats, utils
Suggests: dplyr, knitr, mvtnorm, optmatch, RItools, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-01-23 19:34:06 UTC; bozhan
Author: Bo Zhang [aut, cre]
Maintainer: Bo Zhang <bozhan@wharton.upenn.edu>
Repository: CRAN
Date/Publication: 2022-01-23 20:02:42 UTC
