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.