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
| Version | Repository | File | Size |
|---|---|---|---|
2.4 |
2026-04-09 windows/windows R-4.5 | CMatching_2.4.zip |
86.2 KiB |