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) and the generalized design sensitivity framework developed by Chiu (2025) .


Reference manual

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install.packages("sensitivityIxJ")

0.1.5 by Elaine Chiu, a year ago


Browse source code at https://github.com/cran/sensitivityIxJ


Authors: Elaine Chiu [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp

Suggests rbounds

Linking to Rcpp


See at CRAN