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VIM  

Visualization and Imputation of Missing Values
View on CRAN: Click here


Download and install VIM package within the R console
Install from CRAN:
install.packages("VIM")

Install from Github:
library("remotes")
install_github("cran/VIM")

Install by package version:
library("remotes")
install_version("VIM", "6.2.2")



Attach the package and use:
library("VIM")
Maintained by
Matthias Templ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-11
Latest Update: 2022-08-25
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.
How to cite:
Matthias Templ (2012). VIM: Visualization and Imputation of Missing Values. R package version 6.2.2, https://cran.r-project.org/web/packages/VIM. Accessed 22 Dec. 2024.
Previous versions and publish date:
3.0.2 (2012-10-11 18:17), 3.0.3.1 (2013-04-11 15:53), 3.0.3 (2013-01-09 17:22), 4.0.0 (2013-10-10 14:03), 4.1.0 (2014-10-25 23:07), 4.3.0 (2015-07-07 13:01), 4.4.1 (2015-09-15 15:15), 4.5.0 (2016-06-29 23:29), 4.6.0 (2016-10-17 12:41), 4.7.0 (2017-04-11 15:38), 4.8.0 (2019-02-11 13:33), 5.1.0 (2020-02-05 17:10), 5.1.1 (2020-03-10 17:20), 6.0.0 (2020-05-08 15:30), 6.1.0 (2021-01-19 18:00), 6.1.1 (2021-07-22 14:10)
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