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CMatching: Matching Algorithms for Causal Inference with Clustered Data

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.

Version: 2.4
Depends: R (≥ 2.6.0), Matching
Imports: stats, lmtest, multiwayvcov, lme4
Published: 2025-02-10
DOI: 10.32614/CRAN.package.CMatching
Author: Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas at unica.it>
License: GPL-2
NeedsCompilation: no
CRAN checks: CMatching results

Documentation:

Reference manual: CMatching.pdf

Downloads:

Package source: CMatching_2.4.tar.gz
Windows binaries: r-devel: CMatching_2.4.zip, r-release: CMatching_2.4.zip, r-oldrel: CMatching_2.4.zip
macOS binaries: r-devel (arm64): CMatching_2.4.tgz, r-release (arm64): CMatching_2.4.tgz, r-oldrel (arm64): CMatching_2.4.tgz, r-devel (x86_64): CMatching_2.4.tgz, r-release (x86_64): CMatching_2.4.tgz, r-oldrel (x86_64): CMatching_2.4.tgz
Old sources: CMatching archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.