MissingDataGUI: A GUI for Missing Data Exploration

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: 0.2-4
Depends: gWidgetsRGtk2, ggplot2
Imports: GGally, cairoDevice (≥ 2.23), grid, reshape
Suggests: Hmisc, norm, mice, mi (≥ 1.0)
Published: 2015-12-27
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_0.2-4.tar.gz
Windows binaries: r-devel: MissingDataGUI_0.2-2.zip, r-release: MissingDataGUI_0.2-2.zip, r-oldrel: MissingDataGUI_0.2-4.zip
OS X Snow Leopard binaries: r-release: MissingDataGUI_0.2-4.tgz, r-oldrel: MissingDataGUI_0.2-2.tgz
OS X Mavericks binaries: r-release: MissingDataGUI_0.2-2.tgz
Old sources: MissingDataGUI archive