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.table
hotdeck()
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 makeNA
kNN()
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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