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:	0.0.3
Imports:	randomForest, stats
Published:	2016-09-06
Author:	Matthijs Meire, Michel Ballings, Dirk Van den Poel
Maintainer:	Matthijs Meire <Matthijs.Meire at ugent.be>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	imputeMissings results

Documentation:

Reference manual:

imputeMissings.pdf

Downloads:

Package source:	imputeMissings_0.0.3.tar.gz
Windows binaries:	r-devel: imputeMissings_0.0.3.zip, r-release: imputeMissings_0.0.3.zip, r-oldrel: imputeMissings_0.0.3.zip
macOS binaries:	r-release (arm64): imputeMissings_0.0.3.tgz, r-oldrel (arm64): imputeMissings_0.0.3.tgz, r-release (x86_64): imputeMissings_0.0.3.tgz, r-oldrel (x86_64): imputeMissings_0.0.3.tgz
Old sources:	imputeMissings archive

Reverse dependencies:

Reverse suggests:

Statsomat

Linking:

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