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>.

Version: 0.1.5
Imports: Rcpp
LinkingTo: Rcpp
Suggests: rbounds
Published: 2025-10-16
DOI: 10.32614/CRAN.package.sensitivityIxJ (may not be active yet)
Author: Elaine Chiu [aut, cre]
Maintainer: Elaine Chiu <kchiu4 at wisc.edu>
License: GPL-3
NeedsCompilation: yes
CRAN checks: sensitivityIxJ results

Documentation:

Reference manual: sensitivityIxJ.html , sensitivityIxJ.pdf

Downloads:

Package source: sensitivityIxJ_0.1.5.tar.gz
Windows binaries: r-devel: not available, r-release: sensitivityIxJ_0.1.5.zip, r-oldrel: not available
macOS binaries: r-release (arm64): sensitivityIxJ_0.1.5.tgz, r-oldrel (arm64): sensitivityIxJ_0.1.5.tgz, r-release (x86_64): sensitivityIxJ_0.1.5.tgz, r-oldrel (x86_64): sensitivityIxJ_0.1.5.tgz

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