imputeMissings: Impute Missing Values in a Predictive Context

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

Version:	0.0.4
Imports:	randomForest, stats
Published:	2024-08-30
Author:	Matthijs Meire [aut], Michel Ballings [aut, cre], Dirk Van den Poel [aut]
Maintainer:	Michel Ballings <michel.ballings at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	imputeMissings results

Documentation:

Reference manual:

imputeMissings.html , imputeMissings.pdf

Downloads:

Package source:	imputeMissings_0.0.4.tar.gz
Windows binaries:	r-devel: imputeMissings_0.0.4.zip, r-release: imputeMissings_0.0.4.zip, r-oldrel: imputeMissings_0.0.4.zip
macOS binaries:	r-release (arm64): imputeMissings_0.0.4.tgz, r-oldrel (arm64): imputeMissings_0.0.4.tgz, r-release (x86_64): imputeMissings_0.0.4.tgz, r-oldrel (x86_64): imputeMissings_0.0.4.tgz
Old sources:	imputeMissings archive

Linking:

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