This package 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: | 0.2-0 |
| Depends: | gWidgetsRGtk2, ggplot2 |
| Imports: | GGally, cairoDevice, grid, reshape |
| Suggests: | Hmisc, norm, mice, mi |
| Published: | 2014-03-20 |
| Author: | Xiaoyue Cheng, Dianne Cook, Heike Hofmann |
| Maintainer: | Xiaoyue Cheng <xycheng at iastate.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| 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_0.2-0.tar.gz |
| Windows binaries: | r-devel: MissingDataGUI_0.2-0.zip, r-release: MissingDataGUI_0.2-0.zip, r-oldrel: MissingDataGUI_0.2-0.zip |
| OS X Snow Leopard binaries: | r-release: MissingDataGUI_0.2-0.tgz, r-oldrel: MissingDataGUI_0.2-0.tgz |
| OS X Mavericks binaries: | r-release: not available |
| Old sources: | MissingDataGUI archive |