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citestR: Conditional Independence of Missingness Test

Tests whether missingness in explanatory variables is conditionally independent of the outcome, given observed data. Uses multiply-imputed datasets and cross-validated classifiers to produce a test statistic and p-value, with a sensitivity parameter (kappa) for calibrating interpretation. Wraps the 'citest' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: curl, httr2 (≥ 1.0.0), processx (≥ 3.8.0), rlang (≥ 1.1.0)
Suggests: arrow, jsonlite, reticulate, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-03-23
DOI: 10.32614/CRAN.package.citestR
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7 at lse.ac.uk>
BugReports: https://github.com/midasverse/citest/issues
License: MIT + file LICENSE
URL: https://github.com/midasverse/citest
NeedsCompilation: no
SystemRequirements: Python (>= 3.9) with the 'midasverse-citest-api' package
Materials: NEWS
CRAN checks: citestR results

Documentation:

Reference manual: citestR.html , citestR.pdf
Vignettes: Getting Started with citestR (source, R code)

Downloads:

Package source: citestR_0.1.1.tar.gz
Windows binaries: r-devel: citestR_0.1.1.zip, r-release: citestR_0.1.1.zip, r-oldrel: citestR_0.1.1.zip
macOS binaries: r-release (arm64): citestR_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): citestR_0.1.1.tgz, r-oldrel (x86_64): citestR_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=citestR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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