Provides numeric and graphical summaries for the missing values from both categorical and quantitative variables. A variety of imputation methods are applied, including the univariate imputations like fixed or random values, multivariate imputations like the nearest neighbors and multiple imputations, and imputations conditioned on a categorical variable.
| Version: | 0.2-5 |
| Depends: | gWidgetsRGtk2, ggplot2 |
| Imports: | GGally, cairoDevice (≥ 2.23), grid, reshape |
| Suggests: | Hmisc, norm, mice, mi (≥ 1.0) |
| Published: | 2016-04-25 |
| Author: | Xiaoyue Cheng, Dianne Cook, Heike Hofmann |
| Maintainer: | Xiaoyue Cheng <xycheng at unomaha.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| Citation: | MissingDataGUI citation info |
| Materials: | README NEWS |
| CRAN checks: | MissingDataGUI results |
| Reference manual: | MissingDataGUI.pdf |
| Vignettes: |
MissingDataGUI: A Graphical User Interface for Exploring Missing Values in Data |
| Package source: | MissingDataGUI_0.2-5.tar.gz |
| Windows binaries: | r-devel: MissingDataGUI_0.2-5.zip, r-release: MissingDataGUI_0.2-5.zip, r-oldrel: MissingDataGUI_0.2-5.zip |
| OS X Mavericks binaries: | r-release: MissingDataGUI_0.2-5.tgz, r-oldrel: MissingDataGUI_0.2-5.tgz |
| Old sources: | MissingDataGUI archive |
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