Methods for Statistical Disclosure Control in Tabular Data

Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) are covered in this package.


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This is the git-repo for sdcTable development.

On github, development of the R-package sdcTable takes place. A version is provided on CRAN, too.

Please feel free to report bugs, issues and suggestions to enhance the package on the issue-tracker.



latest-development version

install_github("bernhard-da/sdcTable", build_vignette=TRUE, dependencies=TRUE)


Please have a look at the package vignette and/or browse the automatically generated documentation.


Updates/Changes are listed here.


sdcTable 0.26

  • bugfix when computing indices for contributing units used in some primary suppression methods

sdcTable 0.25

  • better error messages in case invalid hierarchies have been specified

sdcTable 0.24

  • update in SIMPLEHEURISTIC-algorithm that now really respects cells (status "z") that must not be suppressed

sdcTable 0.23

  • bugfix in SIMPLEHEURISTIC-algorithm
  • code cleanup
  • updated package vignette
  • new functions create_node(), add_nodes() and delete_nodes() that allow a dynamic generation of hierarchies. For an example have a look at ?makeProblem

sdcTable 0.22.x

  • Feature to create BATCH files suitable for tau-argus

Reference manual

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0.32.2 by Bernhard Meindl, 2 months ago

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Browse source code at

Authors: Bernhard Meindl

Documentation:   PDF Manual  

Task views: Official Statistics & Survey Methodology, Official Statistics & Survey Statistics

GPL (>= 2) license

Imports data.table, knitr, rlang, stringr, methods, Rglpk, slam, lpSolveAPI, glpkAPI, progress, utils

Depends on Rcpp, sdcHierarchies

Suggests testthat, rmarkdown, webshot, digest

Linking to Rcpp

System requirements: GLPK library, including -dev or -devel part

Imported by easySdcTable.

See at CRAN