mlr3 backend for a
flexible imputation method.hotdeck() when ord_var and variable
overlapirmi(), kNN(), hotdeck() and
regressionImp()). Thanks @wolfgangrannetbauer (#44,
#45)tableMiss(): A table that highlights missing and
imputed values via colors (#47).ranger::ranger() (#35)irmi() with logical and integer columns
(#42)gowerD()maxCat() and
sampleCat()collision addedimp_var and imp_suffix to
irmi(), so it is more consistent with the other functions
(#27)kNN(), to use random
forest in combination with kNN()matchImpute() for imputing
randomly within groupsimpNA in hotdeck()irmi() with factors (#13). Thanks @Deleetdkirmi() (#23)kNN() and data.tablehotdeck()data.frame is passed to
irmi() (#6)kNN(): weightDist to use
the distances for the k nearest neighbours as weightswhich.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 datasethotdeck()hotdeck() if no
ord_var is definedhotdeck() with makeNAkNN() useImputedDist if the
imputed values of a variable should be used in subsequent imputation of
another variable.irmi() with newer version of nnet
(multinom) and if residual scale can not be computed (noise)modelFormula in irmi()irmi()hotdeck() based on data.table -> faster and
quite stablekNN()makeNA in
kNN()imp_var now updates existing TF imp_vars
(with warning)regressionImp()
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