Package: ptable 1.0.0.9000

Tobias Enderle

ptable: Generation of Perturbation Tables for the Cell-Key Method

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.

Authors:Tobias Enderle [aut, cre]

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# Install 'ptable' in R:
install.packages('ptable', repos = c('https://sdctools.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sdctools/ptable/issues

On CRAN:

Conda:

4.59 score 1 stars 1 packages 13 scripts 304 downloads 14 exports 62 dependencies

Last updated 2 years agofrom:a12838c0b6. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winOKMar 22 2025
R-4.5-macOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-winOKMar 22 2025
R-4.4-macOKMar 22 2025
R-4.4-linuxOKMar 22 2025
R-4.3-winOKMar 22 2025
R-4.3-macOKMar 22 2025

Exports:create_cnt_ptablecreate_cnts_ptablecreate_num_ptablecreate_nums_ptablecreate_ptablemodify_cnt_ptablemodify_cnts_ptableplotpt_checkpt_ex_cntspt_ex_numspt_exportpt_vignetteptable

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondata.tabledigestevaluatefansifarverfastmapflexdashboardfontawesomefsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmenloptrpillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesshinysourcetoolstibbletinytexutf8vctrsviridisLitewithrxfunxtableyaml

Introduction to the ptable-Package

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 22 2025.

Last update: 2023-03-01
Started: 2018-12-02