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VIM 6.1.1

• ordFun as parameter of kNN to control the function applied to ordinal variables
• methodStand option in gowerD and kNN to switch between range and interquartile range for the standardization of numerical variables
• donorcond in kNN and hotdeck extended so it also accepts NULL as list element and multiple conditions as character vector # VIM 6.0.2
• error message in hotdeck() when ord_var and variable overlap
• family argument of class ‘family’ now work in regressionImp

VIM 6.0.1

• add new vignettes explaining all remaining imputation methods (irmi(), kNN(), hotdeck() and regressionImp()). Thanks @wolfgangrannetbauer (#44, #45)
• Allow missing and imputed values in several visualization functions.
  • The new functionalities are showcased in the new visualization vignette (#46). Thanks @wolfgangrannetbauer!
• Add tableMiss(): A table that highlights missing and imputed values via colors (#47).
• Bug fix for kNN (#48) Thanks @torockel

VIM 6.0.0

• extend documentation with new vignettes and pkgdown
• add rangerImpute() to impute values with ranger::ranger() (#35)
• remove support for survey objects (#36)
• remove exports for VIMGUI (#40)
• change data.table dependency from depends to imports (#41)
• bugfixes for irmi() with logical and integer columns (#42)

VIM 5.1.1

• updates for gowerD()
• separate help pages for maxCat() and sampleCat()
• remove links to certain packages

VIM 5.0.0

New datasets

• bcancer
• brittleness
• colic
• diabetes
• food
• pulplignin
• toydataMiss
• wine

VIM 4.9.1

• data set collision added

VIM 4.8.0

• fixed a bug in the distance computation when different variable types are used

VIM 4.7.18

• added imp_var and imp_suffix to irmi(), so it is more consistent with the other functions (#27)

VIM 4.7.17

• added parameter addRF, only RF to kNN(), to use random forest in combination with kNN()

VIM 4.7.12

• testthat package used for all tests
• added travis automatically building/checking
• covr for code coverage (vis functions are currently not covered by any tests)

VIM 4.7.1

• new imputation function matchImpute() for imputing randomly within groups

VIM 4.7.0

• remove handling of impNA in hotdeck()
• add regression tests
• bugfix for irmi() with factors (#13). Thanks @Deleetdk
• bugfix with colorspace package (#4)

VIM 4.6.1

• use ordered logistic regression for ordinal variables in irmi() (#23)
• add support for ordered factors (#7)
• bugfixes (#8, #9)

VIM 4.6.0

• bugfixes for kNN() and data.table
• bugfix for labelled vars in hotdeck()
• add JSS citation
• bugfix, if a data.frame is passed to irmi() (#6)

VIM 4.5.0

• new option for kNN(): weightDist to use the distances for the k nearest neighbours as weights
• The R function which.minN() is not used anymore, instead there is a C++ function, kNN() is now about 1.6 times faster on a replication (100x) of the sleep dataset
• Bytecompile is enabled

VIM 4.4.0

• bugfix wrong observations marked as imputed in hotdeck()
• random sorting is now used in hotdeck() if no ord_var is defined

VIM 4.3.0

• bugfix for hotdeck() with makeNA

VIM 4.2.3

• bugfix for the computation of distances for ordered variables

VIM 4.2.1

• new option for kNN() useImputedDist if the imputed values of a variable should be used in subsequent imputation of another variable.

VIM 4.2.0

• bug fixed in irmi() with newer version of nnet (multinom) and if residual scale can not be computed (noise)
• Improvement Gower dist with only missing values in data.x or data.y

VIM 4.1.0

• new parameter modelFormula in irmi()
• bug fixes in irmi()
• updated hotdeck() based on data.table -> faster and quite stable
• bug fix if range of a variable is 0 in gower.dist
• small fixed kNN()

VIM 4.0.1

• small bugfix for using makeNA in kNN()
• “Nothing to impute”-Error is now a warning
• imp_var now updates existing TF imp_vars (with warning)

VIM 4.0.0

• new pacakge VIMGUI contains all GUI functions
• vignettes moved to VIMGUI
• new imputation function regressionImp()
• roxygen style comments -> help files

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They may not be fully stable and should be used with caution. We make no claims about them.
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