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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

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.