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 |
DOI: | 10.32614/CRAN.package.imputeMissings |
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 |
Reference manual: | imputeMissings.pdf |
Package source: | imputeMissings_0.0.4.tar.gz |
Windows binaries: | r-devel: not available, r-release: imputeMissings_0.0.4.zip, r-oldrel: not available |
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 |
Reverse suggests: | Statsomat |
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