Package: match2C
Type: Package
Title: Match One Sample using Two Criteria
Version: 1.2.4
Authors@R: person("Bo", "Zhang", email = "bzhang3@fredhutch.org", 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.
    The package also implements a template matching algorithm using a variant of the tripartite graph 
    design. A brief description of the workflow and some examples are given in the vignette. A more elaborated
    tutorial can be found at <https://www.researchgate.net/publication/359513837_Tutorial_for_R_Package_match2C>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Imports: ggplot2, mvnfast, rcbalance, Rcpp, stats, utils
Suggests: dplyr, knitr, mvtnorm, RItools, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-17 04:38:27 UTC; bzhan
Author: Bo Zhang [aut, cre]
Maintainer: Bo Zhang <bzhang3@fredhutch.org>
Repository: CRAN
Date/Publication: 2023-03-17 12:40:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-03-18 14:25:33 UTC; unix
Archs: match2C.so.dSYM
