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CMatching (version 2.4)

Matching Algorithms for Causal Inference with Clustered Data

Description

Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) . Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

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Version

Install

install.packages('CMatching')

Monthly Downloads

259

Version

2.4

License

GPL-2

Maintainer

Massimo Cannas

Last Published

February 10th, 2025

Functions in CMatching (2.4)

MatchPW

Preferential Within-cluster Matching
summary.CMatch

Summarizing output from MatchW and MatchPW functions
MatchW

Within-cluster Matching
CMatchBalance

Analyze covariate balance before and after matching.
schools

Schools data set (NELS-88)
CMatch

Within and preferential-within cluster matching.
CMatching-package

tools:::Rd_package_title("CMatching")