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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.