Exact Nonparametric Sensitivity Analysis for I by J Contingency Tables
Estimate the Total Number of Tables
Exact Sensitivity Analysis for General Test Statistics in I by J Table...
Exact Sensitivity Analysis for Sum Score (Ordinal) Tests in I by J Tab...
Compute the exact Probability of a Single Table for the Generic Bias M...
Compute the normal-approximation-based z-score and p-value for a given...
Normal Approximation Sensitivity Analysis for I by J Tables
Generate All Possible Contingency Tables Exceeding or Not Exceeding a ...
Monte Carlo Sensitivity Analysis for General Permutation-Invariant Tes...
Monte Carlo Score Test Sensitivity Analysis for I by J 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>.