sensitivityIxJ
Exact Nonparametric Sensitivity Analysis for I by J Contingency Tables
Implements exact, normally approximated, and sampling-based sensitivity analysis for observational studies with contingency tables. Includes exact (kernel-based), normal approximation, and sequential importance sampling (SIS) methods using 'Rcpp' for computational efficiency. The methods build upon the framework introduced in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2> and the generalized design sensitivity framework developed by Chiu (2025) <doi:10.48550/arXiv.2507.17207>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | sensitivityIxJ_0.1.5.tar.gz |
238.5 KiB |
0.1.5 |
rolling linux/noble R-4.5 | sensitivityIxJ_0.1.5.tar.gz |
243.6 KiB |
0.1.5 |
rolling source/ R- | sensitivityIxJ_0.1.5.tar.gz |
50.9 KiB |
0.1.5 |
latest linux/jammy R-4.5 | sensitivityIxJ_0.1.5.tar.gz |
238.5 KiB |
0.1.5 |
latest linux/noble R-4.5 | sensitivityIxJ_0.1.5.tar.gz |
243.6 KiB |
0.1.5 |
latest source/ R- | sensitivityIxJ_0.1.5.tar.gz |
50.9 KiB |
0.1.5 |
2026-04-26 source/ R- | sensitivityIxJ_0.1.5.tar.gz |
50.9 KiB |
0.1.5 |
2026-04-23 source/ R- | sensitivityIxJ_0.1.5.tar.gz |
50.9 KiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | sensitivityIxJ_0.1.5.zip |
565.9 KiB |