R Observatory: Metrics for cellkeyperturbation version 3.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cellkeyperturbation

3.0.0Package record

Cell Key Perturbation

0packages depend

1.5Kdownloads / year

23.9%test coverage

13/13flavors OK

Overview

About

Maintained by Ahmet AydinCRAN page ↗GitHub ↗Issues ↗

Provides functions to generate frequency tables and apply cell key perturbation to protect against statistical disclosure in tabular outputs. The implemented methods are described in "Cell Key Perturbation User Guide" https://github.com/ONSdigital/cell-key-perturbation-R/blob/main/documentation/SML_UserDoc_CKP_R.md. Developed at the UK Office for National Statistics.

Changes in 3.0.0

Major Changes

Functionality to create perturbed table using BigQuery including validation process

to be able to work with large datasets in a Google Cloud Platform environment.

Generate record keys from ons_id as default where ons_id exists, with an option to turn it off.

Minor improvements and bug fixes

Created functions to generate sample microdata, ptable_10_5, and random record

keys for testing purposes, with alternative parameters allowed.

The sample microdata included in this package is identical to the sample in the python

version (cell-key-perturbation).

However, a new sample of microdata created in R with the same parameters would not be

identical to the sample in python, due to differences in Random Number Generation.

Validation moved to a separate module with improved and additional validation checks.

Show all changes in 3.0.0Hide the rest of the changes in 3.0.0

**Tabulation with missing values:** Missing values will be included in the frequency table,

treating missingness as a category. Added a check function for missing values in tabulation variables,

which returns a warning message if any of the tabulation variables contains missing values

and suggests to consider removing them.

Re-ordered columns and standardised the data type for output tables.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("cellkeyperturbation", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ONSdigital/cell-key-perturbation-R")

Development version from ONSdigital/cell-key-perturbation-R. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-cellkeyperturbation

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-cellkeyperturbation

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-cellkeyperturbation

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.0 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-05-29

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.0.0

READMEYes · 1,406 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 3.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11 (1 internal)
Examples that run: 100%6 run in a plain check (4 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Cell Key Perturbation in R HTML

How these are measured

Downloads

1.5K

CRAN downloads in the past year

Rank #15,353 · ~4/day · ~126/mo

Releases R versions

Daily download trend is not available in this view yet.

24630 days

79590 days

1.5K1 year

Compare downloads with other packages →

Also on27 r2u1 autocran

How downloads are counted

Repository

onsdigital/cell-key-perturbation-r ↗Organization: ONSdigital

5Stars

2Forks

0Open issues

0Open PRs

4Releases

112Commits

3Commit identities

112 commits · Last activity 2026-05-21 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 62
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2026-07-14 · 42026-07-22 · 5

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/onsdigital/cell-key-perturbation-r on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

CODEOWNERS

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing cellkeyperturbation adds 1 package (1 with compiled code, 5.7 MB of source tarballs). Heaviest: data.table 5.7 MB.

Depends (1)

R >= 3.5.0

Imports (1)

data.table

LinkingTo (0)

none

Suggests (5)

bigrquery DBI knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ahmet Aydin

Author, Maintainer since 3.0.0 (2026)

Iain Dove

Author, Copyright holder

Releases (1)

3.0.0Latest
record
2026-05-28 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-28
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 13 KB / 2 files
Download size: 54 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cellkeyperturbation")

Format

Aydin, A., & Dove, I. (2026). cellkeyperturbation: Cell Key Perturbation (Version 3.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.cellkeyperturbation

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cellkeyperturbation version 3.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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