×

VIM

swMATH ID: 6776
Software Authors: Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner
Description: R package VIM: Visualization and Imputation of Missing Values. 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
Homepage: http://cran.r-project.org/web/packages/VIM/index.html
Source Code:  https://github.com/cran/VIM
Dependencies: R
Keywords: visualization; missing values; exploring incomplete data; R software
Related Software: R; MICE; Amelia; impute; SPSS; Stata; norm; missMDA; laeken; mi; imputeTS; Hmisc; ggplot2; robustbase; lattice; XGBoost; naniar; SAS; MASS (R); VIMGUI
Cited in: 16 Documents

Standard Articles

1 Publication describing the Software Year
Imputation with the R Package VIM Link
Alexander Kowarik; Matthias Templ
2016

Citations by Year