VIM: Visualization and Imputation of Missing Values

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.

Package overview Donor based Imputation Methods Imputation Method IRMI Model based Imputation Methods Supportive Graphic Methods VIM

Vignettes Man pages API and functions Files

Package details
Author	Matthias Templ [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut]
Maintainer	Matthias Templ <matthias.templ@gmail.com>
License	GPL (>= 2)
Version	6.2.2
URL	https://github.com/statistikat/VIM
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("VIM")`