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: 2.2
Depends: R (≥ 2.6.0), Matching
Imports: stats, lmtest, multiwayvcov, lme4
Suggests: MASS
Published: 2018-08-27
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

Downloads:

Reference manual: CMatching.pdf
Package source: CMatching_2.2.tar.gz
Windows binaries: r-devel: CMatching_2.2.zip, r-release: CMatching_2.2.zip, r-oldrel: CMatching_2.2.zip
OS X binaries: r-release: CMatching_2.2.tgz, r-oldrel: CMatching_2.2.tgz
Old sources: CMatching archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CMatching to link to this page.