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cellKey

1.0.3Package record

Consistent Perturbation of Statistical Frequency- And Magnitude Tables

0packages depend
3.7Kdownloads / year
65.8%test coverage
13/13flavors OK

Overview

About

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf which was extended and enhanced by Giessing and Tent (2019) https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf.

Changes in 1.0.3

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.3
READMEYes · 188 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 1.0.3Citation fileNo
Help pages
12
Examples that run
50%6 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
17%

Downloads

3.7K
CRAN downloads in the past year
Rank #10,793 · ~10/day · ~312/mo
Daily download trend is not available in this view yet.
40630 days
95890 days
3.7K1 year
Compare downloads with other packages →
Also on370 r2u

Repository

12Stars
4Forks
0Open issues
0Open PRs
15Releases
376Commits
4Commit identities
376 commits · Last activity 2025-09-03 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
7
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2026-07-14 · 112026-07-30 · 12
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/sdctools/cellkey on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (3)
README.Rmd

GitHub Pages site last deployed 2025-09-03 · The repository has a site deploy workflow

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing cellKey adds 66 packages (34 with compiled code, 66 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)
Imports (10)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2023)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.3Latest
    record
    2025-09-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    record
    2023-11-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1
    record
    2023-03-17 · diff ↗
  • 1.0.0
    record
    2023-03-10
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-10
Total releases
4 / 3 yrs
License
GPL-2 OSI
Minimum R
≥ 4.1
Bundled data
5.2 MB / 2 files
Download size
4.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cellKey")
Meindl, B. (2025). cellKey: Consistent Perturbation of Statistical Frequency- And Magnitude Tables (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.cellKey

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cellKey version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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