diff --git a/DESCRIPTION b/DESCRIPTION index 6e46a0d..17dbc55 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,30 +1,30 @@ -Package: VIM -Version: 4.4.0 +Package: VIM +Version: 4.4.1 Date: 2015-09-15 -Title: Visualization and Imputation of Missing Values -Author: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner -Maintainer: Matthias Templ -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 -Description: 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. -LazyData: TRUE -License: GPL (>= 2) -URL: https://github.com/alexkowa/VIM -Repository: CRAN -LinkingTo: Rcpp +Title: Visualization and Imputation of Missing Values +Author: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner +Maintainer: Matthias Templ +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 +Description: 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. +LazyData: TRUE +License: GPL (>= 2) +URL: https://github.com/alexkowa/VIM +Repository: CRAN +LinkingTo: Rcpp