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countmaskr: Small Cell Masking Tool for One- & Two-Way Tabular Reports

Provides automated small-cell suppression for one- and two-way frequency tables. Cells falling below a user-defined frequency threshold are masked, with suppression propagated to secondary cells to prevent indirect disclosure. Designed for clinical and health administrative data, the package supports a range of tabular structures and fits into reproducible reporting pipelines, reducing manual review while applying consistent suppression rules across data sharing workflows.

Version: 0.1.1
Depends: R (≥ 2.10), dplyr, tibble, tidyr
Imports: lifecycle
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-04-10
DOI: 10.32614/CRAN.package.countmaskr
Author: Sahal Master ORCID iD [cre, aut], Amy Goodwin Davies ORCID iD [aut], Allison Zelinski [aut], Qiwei Shen ORCID iD [aut], Charles Bailey ORCID iD [aut], Nicole Marchesani ORCID iD [ctb], Aqsa Khan ORCID iD [ctb], Rhonda DeCook [ctb]
Maintainer: Sahal Master <sahalmaster at outlook.com>
License: MPL-2.0
URL: https://query-fulfillment.github.io/countmaskr/
NeedsCompilation: no
Materials: README
CRAN checks: countmaskr results

Documentation:

Reference manual: countmaskr.html , countmaskr.pdf
Vignettes: funding (source, R code)
getting-started (source, R code)

Downloads:

Package source: countmaskr_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: countmaskr_0.1.1.zip, r-oldrel: countmaskr_0.1.1.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): countmaskr_0.1.1.tgz, r-oldrel (x86_64): countmaskr_0.1.1.tgz

Linking:

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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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