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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: 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 |
| Reverse suggests: | Statsomat |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.