bigmatch
Making Optimal Matching Size-Scalable Using Optimal Calipers
Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors, and nfmatch() to find a near-fine balance match with a caliper and a restriction on the number of nearest neighbors. Yu, R., Silber, J. H., and Rosenbaum, P. R. (2020). <DOI:10.1214/19-sts699>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.4 |
rolling linux/jammy R-4.5 | bigmatch_0.6.4.tar.gz |
195.1 KiB |
0.6.4 |
rolling linux/noble R-4.5 | bigmatch_0.6.4.tar.gz |
195.1 KiB |
0.6.4 |
rolling source/ R- | bigmatch_0.6.4.tar.gz |
118.6 KiB |
0.6.4 |
latest linux/jammy R-4.5 | bigmatch_0.6.4.tar.gz |
195.1 KiB |
0.6.4 |
latest linux/noble R-4.5 | bigmatch_0.6.4.tar.gz |
195.1 KiB |
0.6.4 |
latest source/ R- | bigmatch_0.6.4.tar.gz |
118.6 KiB |
0.6.4 |
2026-04-26 source/ R- | bigmatch_0.6.4.tar.gz |
118.6 KiB |
0.6.4 |
2026-04-23 source/ R- | bigmatch_0.6.4.tar.gz |
118.6 KiB |
0.6.4 |
2026-04-09 windows/windows R-4.5 | bigmatch_0.6.4.zip |
198.0 KiB |
0.6.4 |
2025-04-20 source/ R- | bigmatch_0.6.4.tar.gz |
118.6 KiB |