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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.
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Package details |
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| Author | Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb] |
| Maintainer | Massimo Cannas <massimo.cannas@unica.it> |
| License | GPL-2 |
| Version | 2.3.0 |
| Package repository | View on CRAN |
| Installation |
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