New tools for the visualization of missing
and/or imputed values are introduced, 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: |
4.4.1 |
| Depends: |
R (≥ 3.1.0), colorspace, grid, data.table (≥ 1.9.4) |
| Imports: |
car, grDevices, robustbase, stats, sp, vcd, MASS, nnet, e1071, methods, Rcpp, utils, graphics |
| LinkingTo: |
Rcpp |
| Published: |
2015-09-15 |
| 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, SocialSciences |
| CRAN checks: |
VIM results |