sdcTable
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)
sdcTable
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.
CRAN
install.packages("sdcTable")
latest-development version
install_github("bernhard-da/sdcTable", build_vignette=TRUE, dependencies=TRUE)
Usage
Please have a look at the package vignette and/or browse the automatically generated documentation.
Updates
Updates/Changes are listed here.
News
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()anddelete_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