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NEWS
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NEWS
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# 5.5.2
- write intermediate files to temp-directory in `rmarkdown::render()` to fix possible deployment problems with rsconnect when using `report()`
- bugfix in `pram()`
- bugfix in `dRisk()`
# 5.5.1
- bug in modRisk when the levels of a variable in the formulaM is greater than 10 (solved). Thanks to Ying Chen for the solution.
- Adding default comment.char parameter for csv imports (thx @leebrian)
# 5.5.0
- gcc problems solved
# 5.4.1
- nothing new, but shiny did no longer export a specific function, so we resolved a warning
# 5.4.1
- valTable now also works for additive noise methods and swapping
- updates to imports
- small fixes and updates in `sdcApp`
# 5.3.0
- Add versions for Stata export
- add parameter `shiny.server` to `sdcApp` (to make it easily possible to run the app on a shiny server)
- fixes due to new data.table version
- improvements in sdcApp()
# 5.2.0
- improvements in sdcApp()
- updating dependencies due to new version of package car
- bug in IL1 resolved. Now distiction of methods IL1 and IL1s
- also a new gh-page (http://sdctools.github.io/sdcMicro/) was created
# 5.1.0
- bugfix in sdcApp() when using R-objects as data input
- bugfix in sdcApp() when button to perform kAnon() was "lost"
- bugfix in sdcApp() when >= 10 keyvars were used in localSuppression
- bugfix in sdcApp(): sort table of risky observations correctly
- support shiny server for the GUI
- new method kAnon_violations() returning the number of records violating k-anonymity in the sample or the population
- fixes and improvements in parametrisation and error-handling in riskyCells()
- minor fixes in sdc_guidelines vignette including a comment, that the guidelines have not yet been revised for sdcMicro version >= 5.0.0
- pass (...) in writeSafeFile(..., format="csv")
- fixes and improvements in localSuppression()
# 5.0.4
- new default theme "IHSN" for sdcApp()
- fixing an issue in report() where disclosure risk for original data was wrongly displayed if alpha-parameter was set
- allow passing through of arguments in sdcApp()
- add functions argus_rankswap() and argus_microaggregation() that use c++-code directly from mu-argus
- bugfix in dUtility()
- new function riskyCells() that allow to compute "unsafe cells" as in mu-argus
- several code-optimizations and cleanup
# 5.0.3
- improvement: show name of uploaded file in report when using sdcApp() (fixes #209)
- correct summary statistics in GUI in case not all variables have been changed
- fixes for file-imports of datasets containing labels (eg. stata-files)
- allow to change computation of suda2-scores by adding a parameter to suda2()
- use some functions (gowerD,..) from VIM
- bugfix for special case of only one dim-variable in freqCalc()
- bugfix for edge-cases in localSuppression()/kAnon()
- update references and improve documentation
# 5.0.2
- consistency improvements
- code cleanup
- fixes for non-ut8 encoded metadata using file import in graphical user interface
- do not allow missing values in weight-variable
- various small bugfixes and improvements
# 5.0.1
- This release includes some small improvements in the graphical user interface and preperations for new major R version.
# 5.0.0
- new argument 'excludeVars' in createSdcObj()
- shiny-based GUI directly included in the package, can be started with sdcApp()
- added vignette for sdcApp()
- rewrite of function 'freqCalc()'
- many improvements and bugfixes
# 4.1.7
- IHSN SDC guidelines as vignette
- cat. key variables returned as factors in extractManipData
# 4.1.6
- show method for sdcMicroObj
# 4.1.5
- pram bug fix
# 4.1.4
- bug fix mafasts
# 4.1.1
- only small bug fixes
# 4.1.0
- new IHSN SDC Guidelines included
- new implementation of freqCalc. Computation time is now linear with data size.
Gains a lot of speed for large data sets.
- localSuppression, measure_risk and createSdcJobj make use of new implementation of freqCalc
- C++-Level glpk and R-Level Rglpk removed for better compatiblity with Mac
- configure,cleanup removed and Makevars and Makevars.win rewritten according to Rcpp documentation
- function microaggrGower added: microaggregation for numerical and categorical variables based on Gower distance
- completely new report facility (knitr and brew instead of R2HTML), new class 'reportObj' which stores all info for
reporting and is generate by calcReportData
- new slot in class sdcObj for manipPramVars