Package: VIM
Version: 3.0.3
Date: 2013-01-09
Title: Visualization and Imputation of Missing Values
Author: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd
Prantner
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Depends: R (>= 2.10),e1071,car, colorspace, nnet, robustbase, tcltk,
tkrplot, sp, vcd, Rcpp
Imports: car, colorspace, grDevices, robustbase, stats, tcltk, sp,
utils, vcd
Description: 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 missings 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 allows an easy handling of the implemented plot
methods.
License: GPL (>= 2)
URL: http://cran.r-project.org/package=VIM
Packaged: 2013-01-09 14:27:02 UTC; templ
Repository: CRAN
Date/Publication: 2013-01-09 17:22:16

Author: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner
Imports: car, grDevices, robustbase, stats, sp,
Description: 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
Collate: 'VIM-package.R' 'aggr.R' 'alphablend.R' 'barMiss.R' 'bgmap.R'
'histMiss.R' 'hotdeck.R' 'irmi.R' 'kNNFaster.R' 'mapMiss.R'