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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: imputeMissings results


Reference manual: imputeMissings.pdf


Package source: imputeMissings_0.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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