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CMatching  

Matching Algorithms for Causal Inference with Clustered Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CMatching", "2.4")



Attach the package and use:
library("CMatching")
Maintained by
Massimo Cannas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-19
Latest Update: 2025-02-10
Description:
Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
How to cite:
Massimo Cannas (2017). CMatching: Matching Algorithms for Causal Inference with Clustered Data. R package version 2.4, https://cran.r-project.org/web/packages/CMatching. Accessed 09 Jun. 2026.
Previous versions and publish date:
1.0 (2017-09-19 19:30), 2.0 (2018-01-23 10:25), 2.1 (2018-07-02 12:30), 2.2.1 (2018-10-05 15:32), 2.2 (2018-08-27 10:26), 2.3.0 (2019-02-05 15:53)
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Complete documentation for CMatching
Functions, R codes and Examples using the CMatching R package
Full CMatching package functions and examples
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