optmatch
Functions for Optimal Matching
Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.10.8 |
rolling linux/jammy R-4.5 | optmatch_0.10.8.tar.gz |
1.4 MiB |
0.10.8 |
rolling linux/noble R-4.5 | optmatch_0.10.8.tar.gz |
1.4 MiB |
0.10.8 |
rolling source/ R- | optmatch_0.10.8.tar.gz |
1.0 MiB |
0.10.8 |
latest linux/jammy R-4.5 | optmatch_0.10.8.tar.gz |
1.4 MiB |
0.10.8 |
latest linux/noble R-4.5 | optmatch_0.10.8.tar.gz |
1.4 MiB |
0.10.8 |
latest source/ R- | optmatch_0.10.8.tar.gz |
1.0 MiB |
0.10.8 |
2026-04-26 source/ R- | optmatch_0.10.8.tar.gz |
1.0 MiB |
0.10.8 |
2026-04-23 source/ R- | optmatch_0.10.8.tar.gz |
1.0 MiB |
0.10.8 |
2026-04-09 windows/windows R-4.5 | optmatch_0.10.8.zip |
1.7 MiB |
0.10.8 |
2025-04-20 source/ R- | optmatch_0.10.8.tar.gz |
1.0 MiB |