autoupdating

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 <[email protected]>       
-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 <[email protected]>        
+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