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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.

Versions across snapshots

VersionRepositoryFileSize
2.4 rolling linux/jammy R-4.5 CMatching_2.4.tar.gz 83.5 KiB
2.4 rolling linux/noble R-4.5 CMatching_2.4.tar.gz 83.4 KiB
2.4 rolling source/ R- CMatching_2.4.tar.gz 56.6 KiB
2.4 latest linux/jammy R-4.5 CMatching_2.4.tar.gz 83.5 KiB
2.4 latest linux/noble R-4.5 CMatching_2.4.tar.gz 83.4 KiB
2.4 latest source/ R- CMatching_2.4.tar.gz 56.6 KiB
2.4 2026-04-26 source/ R- CMatching_2.4.tar.gz 56.6 KiB
2.4 2026-04-23 source/ R- CMatching_2.4.tar.gz 56.6 KiB
2.4 2026-04-09 windows/windows R-4.5 CMatching_2.4.zip 86.2 KiB
2.4 2025-04-20 source/ R- CMatching_2.4.tar.gz 56.6 KiB

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