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 |
| Reference manual: | imputeMissings.pdf |
| 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: imputeMissings_0.0.3.tgz, r-oldrel: imputeMissings_0.0.3.tgz |
| Old sources: | imputeMissings archive |
Please use the canonical form https://CRAN.R-project.org/package=imputeMissings to link to this page.