CMatching: Matching Algorithms for Causal Inference with Clustered Data (original) (raw)
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 |
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