Package: sensitivityIxJ 0.1.5

Elaine Chiu

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>.

Authors:Elaine Chiu [aut, cre]

sensitivityIxJ_0.1.5.tar.gz
sensitivityIxJ_0.1.5.tar.gz(r-4.7-arm64)sensitivityIxJ_0.1.5.tar.gz(r-4.7-x86_64)sensitivityIxJ_0.1.5.tar.gz(r-4.6-arm64)sensitivityIxJ_0.1.5.tar.gz(r-4.6-x86_64)
sensitivityIxJ_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sensitivityIxJ/json (API)

# Install 'sensitivityIxJ' in R:
install.packages('sensitivityIxJ', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 139 downloads 9 exports 1 dependencies

Last updated from:67a79b5b8b. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK101
source / vignettesOK168
linux-release-arm64OK126
linux-release-x86_64OK119
wasm-releaseOK98

Exports:estimate_tablesexact.general.sen.IxJexact.score.sen.IxJgeneric.I.by.J.sensitivity.point.probabilitynorm_single_u_allocation_p_valuenorm.score.sen.IxJpossible.tablesampling.general.sen.IxJsampling.score.sen.IxJ

Dependencies:Rcpp