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.
- Version6.2.2
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- VIM citation info
- Last release08/25/2022
Documentation
Team
Matthias Templ
Alexander Kowarik
Andreas Alfons
Show author detailsRolesAuthorGregor de Cillia
Show author detailsRolesAuthorBernd Prantner
Show author detailsRolesContributorWolfgang Rannetbauer
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends3 packages
- Imports17 packages
- Suggests7 packages
- Linking To1 package
- Reverse Imports11 packages
- Reverse Suggests2 packages