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ptable

1.0.0Package record

Generation of Perturbation Tables for the Cell-Key Method

1packages depend
3.5Kdownloads / year
99.1%test coverage
13/13flavors OK

Overview

About

Tabular data from statistical institutes and agencies are mostly confidential and must be protected prior to publications. The cell-key method is a post-tabular Statistical Disclosure Control perturbation technique that adds random noise to tabular data. The statistical properties of the perturbations are defined by some noise probability distributions - also referred to as perturbation tables. This tool can be used to create the perturbation tables based on a maximum entropy approach as described for example in Giessing (2016) doi:10.1007/978-3-319-45381-1_18. The perturbation tables created can finally be used to apply a cell-key method to frequency count or magnitude tables.

Changes in 1.0.0
  • CRAN submission
  • fix CRAN submission issues: replace \dontrun with \donttest,

remove examples, use on.exit(), use return values, use interactive(),

replace cat() with message(), adjust DESCRIPTION file

  • update: file extension in pt_export() and plot()

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
  • OK13 OK2026-05-12
Show 2 earlier changesHide 2 earlier changes
  • WARNING12 OK, 1 WARNING2026-05-11
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 522 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNo
Help pages
12
Examples that run
56%5 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.5K
CRAN downloads in the past year
Rank #12,029 · ~10/day · ~289/mo
Daily download trend is not available in this view yet.
47630 days
90490 days
3.5K1 year
Compare downloads with other packages →
Also on65 r2u6 autocran

Repository

2Stars
1Forks
2Open issues
0Open PRs
4Releases
182Commits
3Commit identities
License file reads as EUPL-1.2 · 182 commits · Last activity 2023-03-03 · 0% stars, 30d · Default branch at 1.0.0.9000, ahead of CRAN 1.0.0 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
654
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-07-14 · 32026-09-11 · 2
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

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

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (1)

GitHub Pages site last deployed 2023-03-03

Coverage (2)
Coverage reporting.covrignore
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing ptable adds 52 packages (27 with compiled code, 49 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, bslib 5.6 MB.

Depends (1)
R >= 3.6
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0.0 (2023)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0Latest
    2023-03-01 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-01
Total releases
1 / 3 yrs
License
EUPL
Minimum R
≥ 3.6
Download size
169 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ptable")
Enderle, T. (2023). ptable: Generation of Perturbation Tables for the Cell-Key Method (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ptable

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 ptable version 1.0.0 [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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