VIM: Visualization and Imputation of Missing Values

This package introduces new tools for the visualization of missing and/or imputed values, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.

Version: 4.1.0
Depends: R (≥ 3.1.0), colorspace, grid, data.table (≥ 1.9.4)
Imports: car, grDevices, robustbase, stats, sp, vcd, MASS, nnet, e1071, methods, Rcpp
LinkingTo: Rcpp
Published: 2014-10-25
Author: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner
Maintainer: Matthias Templ <matthias.templ at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/alexkowa/VIM
NeedsCompilation: yes
Materials: README NEWS
In views: Multivariate, OfficialStatistics
CRAN checks: VIM results

Downloads:

Reference manual: VIM.pdf
Package source: VIM_4.1.0.tar.gz
Windows binaries: r-devel: VIM_4.1.0.zip, r-release: VIM_4.1.0.zip, r-oldrel: VIM_4.0.0.zip
OS X Snow Leopard binaries: r-release: VIM_4.0.0.tgz, r-oldrel: VIM_4.0.0.tgz
OS X Mavericks binaries: r-release: VIM_4.1.0.tgz
Old sources: VIM archive

Reverse dependencies:

Reverse depends: miP, VIMGUI