Package: countmaskr Title: Small Cell Masking Tool for One- & Two-Way Tabular Reports Version: 0.1.1 Authors@R: c( person("Sahal", "Master", , "sahalmaster@outlook.com", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-8518-8107")), person("Amy", "Goodwin Davies", , "goodwindaa@chop.edu", comment = c(ORCID = "0000-0002-2942-4654"), role = "aut"), person("Allison", "Zelinski", , "zelinskia@chop.edu", role = "aut"), person("Qiwei", "Shen", , "shenq@chop.edu", comment = c(ORCID = "0009-0003-0631-0026"), role = "aut"), person("Charles", "Bailey", , "BAILEYC@chop.edu", comment = c(ORCID = "0000-0002-8967-0662"), role = "aut"), person("Nicole", "Marchesani", , "MARCHESANN@chop.edu", comment = c(ORCID = "0009-0006-0683-7575"),role = "ctb"), person("Aqsa", "Khan", , "khana8@chop.edu", comment = c(ORCID = "0009-0000-9574-4704"),role = "ctb"), person("Rhonda", "DeCook", , "rhonda-decook@uiowa.edu", role = "ctb") ) Description: 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. License: MPL-2.0 Depends: R (>= 2.10), dplyr, tibble, tidyr Imports: lifecycle Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://query-fulfillment.github.io/countmaskr/ VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev Repository: https://query-fulfillment.r-universe.dev Date/Publication: 2026-04-15 13:37:57 UTC RemoteUrl: https://github.com/query-fulfillment/countmaskr RemoteRef: HEAD RemoteSha: c284c53db988e6bf7a13378b84898030d3122cce NeedsCompilation: no Packaged: 2026-07-14 06:44:46 UTC; root Author: Sahal Master [cre, aut] (ORCID: ), Amy Goodwin Davies [aut] (ORCID: ), Allison Zelinski [aut], Qiwei Shen [aut] (ORCID: ), Charles Bailey [aut] (ORCID: ), Nicole Marchesani [ctb] (ORCID: ), Aqsa Khan [ctb] (ORCID: ), Rhonda DeCook [ctb] Maintainer: Sahal Master