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match2C  

Match One Sample using Two Criteria
View on CRAN: Click here


Download and install match2C package within the R console
Install from CRAN:
install.packages("match2C")

Install from Github:
library("remotes")
install_github("cran/match2C")

Install by package version:
library("remotes")
install_version("match2C", "1.2.4")



Attach the package and use:
library("match2C")
Maintained by
Bo Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2023-03-17
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 .
How to cite:
Bo Zhang (2020). match2C: Match One Sample using Two Criteria. R package version 1.2.4, https://cran.r-project.org/web/packages/match2C
Previous versions and publish date:
0.1.0 (2020-05-12 15:40), 1.1.0 (2021-02-17 11:10), 1.1.1 (2021-05-09 09:30), 1.2.1 (2022-01-23 21:02), 1.2.2 (2022-03-04 12:40), 1.2.3 (2022-03-29 01:00), 1.2.4 (2023-03-17 13:40)
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