0.5.1

Fixes

• Pure CRAN check maintenance release.

sdcLog 0.5.0

Improvements

• SDC Results are now presented using {cli} instead of {crayon}. This made it possible to improve the overall readability of the SDC results.
• All sdc_* functions gain the new argument fill_id_var. This makes output control easier in specific cases where you need to check an identifier with many missing values. See this discussion for details.
• For options(sdc.info_level = 2), the information on dominance now prints the dominance, similar to the number of distinct identifiers.

sdcLog 0.4.0

Improvements

• Introduction of mathjaxr to improve the quality and readability of the help files.
• lintr induced cleanup of the code base.

Bug Fixes

• Fixed https://github.com/matthiasgomolka/sdcLog/issues/79.
• Fixed https://github.com/matthiasgomolka/sdcLog/issues/83.
• Fixed https://github.com/matthiasgomolka/sdcLog/issues/75.

sdcLog 0.3.0

Possibly Breaking Changes

• The objects returned by sdc_*() functions now contain options and settings in a much better structure. Before, it was a bunch of strings which could be pasted together. Now, it’s a list holding only the relevant values. The print output remained almost identical (minor improvements) due to new print methods.

Improvements

• as.data.table() in sdc_*() functions is now conditional so that it’s only called when data is not a data.table yet. This can save memory and improve performance.
• sdc_model() gained the new argument local (like in source()), which allows new use cases. Thanks to Pantelis Karapanagiotis for the PR!

Bug Fixes

• sdc_model() no longer returns wrong results for felm models when the id_var is used for clustering.

sdcLog 0.2.0

Possibly Breaking Changes

• The by argument in sdc_descriptives() and sdc_extreme() now only accepts character input. This makes the code more robust and easier to maintain.
• the structure of objects of type sdc_model is simplified (terms instead of dummies and interactions)
• sdc_extreme() now return the number of distinct ID’s (instead of number of observations) used to calculate the extreme values

Features

• support for interaction terms in sdc_model()
• support for checking continuous variables in sdc_model()
• sdc_model() now checks if data was actually used to create model (this only works if model has a suitable S3 method for model.frame())
• the argument id_var now takes the default value of getOption("sdc.id_var") in all functions, which makes it possible to use options(sdc.id_var = "id") at the top of a script and save some typing
• performance improvement for check_dominance() (and therefore in sdc_descriptives() and sdc_extreme())

Bug Fixes

• check_dominance() now handles negative values correctly (as abs())

sdcLog 0.1.0 (first CRAN release)

• Added a NEWS.md file to track changes to the package.