Crandore Hub

sensitivityfull

Sensitivity Analysis for Full Matching in Observational Studies

Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <DOI:10.1111/j.1541-0420.2006.00717.x>.

Versions across snapshots

VersionRepositoryFileSize
1.5.6 rolling linux/jammy R-4.5 sensitivityfull_1.5.6.tar.gz 43.9 KiB
1.5.6 rolling linux/noble R-4.5 sensitivityfull_1.5.6.tar.gz 43.8 KiB
1.5.6 rolling source/ R- sensitivityfull_1.5.6.tar.gz 8.5 KiB
1.5.6 latest linux/jammy R-4.5 sensitivityfull_1.5.6.tar.gz 43.9 KiB
1.5.6 latest linux/noble R-4.5 sensitivityfull_1.5.6.tar.gz 43.8 KiB
1.5.6 latest source/ R- sensitivityfull_1.5.6.tar.gz 8.5 KiB
1.5.6 2026-04-26 source/ R- sensitivityfull_1.5.6.tar.gz 8.5 KiB
1.5.6 2026-04-23 source/ R- sensitivityfull_1.5.6.tar.gz 8.5 KiB
1.5.6 2026-04-09 windows/windows R-4.5 sensitivityfull_1.5.6.zip 47.0 KiB
1.5.6 2025-04-20 source/ R- sensitivityfull_1.5.6.tar.gz 8.5 KiB

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Imports