sensitivitymw
Sensitivity Analysis for Observational Studies Using Weighted M-Statistics
Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1 |
rolling linux/jammy R-4.5 | sensitivitymw_2.1.tar.gz |
57.7 KiB |
2.1 |
rolling linux/noble R-4.5 | sensitivitymw_2.1.tar.gz |
57.5 KiB |
2.1 |
rolling source/ R- | sensitivitymw_2.1.tar.gz |
21.8 KiB |
2.1 |
latest linux/jammy R-4.5 | sensitivitymw_2.1.tar.gz |
57.7 KiB |
2.1 |
latest linux/noble R-4.5 | sensitivitymw_2.1.tar.gz |
57.5 KiB |
2.1 |
latest source/ R- | sensitivitymw_2.1.tar.gz |
21.8 KiB |
2.1 |
2026-04-26 source/ R- | sensitivitymw_2.1.tar.gz |
21.8 KiB |
2.1 |
2026-04-23 source/ R- | sensitivitymw_2.1.tar.gz |
21.8 KiB |
2.1 |
2026-04-09 windows/windows R-4.5 | sensitivitymw_2.1.zip |
61.2 KiB |
2.1 |
2025-04-20 source/ R- | sensitivitymw_2.1.tar.gz |
21.8 KiB |