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.

Documentation

Manual: VIM.pdf
Vignette: None available.

Maintainer: Matthias Templ <matthias.templ at gmail.com>

Author(s): Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner

Install package and any missing dependencies by running this line in your R console:

install.packages("VIM")

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, laeken
Suggests dplyr
Enhances
Linking to Rcpp
Reverse
depends
VIMGUI
Reverse
imports
covmat, robCompositions, simPop
Reverse
suggests
simputation
Reverse
enhances
Reverse
linking to

Package VIM
Materials
URL https://github.com/alexkowa/VIM
Task Views Multivariate , OfficialStatistics , SocialSciences
Version 4.6.0
Published 2016-10-17
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks VIM check results
Package source VIM_4.6.0.tar.gz