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: 2.3.0
Depends: R (≥ 2.6.0), Matching
Imports: stats, lmtest, multiwayvcov, lme4
Suggests: MASS
Published: 2019-02-05
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_2.3.0.tar.gz
Windows binaries: r-devel: CMatching_2.3.0.zip, r-release: CMatching_2.3.0.zip, r-oldrel: CMatching_2.3.0.zip
macOS binaries: r-release (arm64): CMatching_2.3.0.tgz, r-release (x86_64): CMatching_2.3.0.tgz, r-oldrel: CMatching_2.3.0.tgz
Old sources: CMatching archive

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