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r-vim

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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 (<doi:10.1007/s11634-011-0102-y>). A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods. Fast imputation methods such as k-nearest neighbor imputation (<doi:10.18637/jss.v074.i07>) and imputation using robust methods are provided (<doi:10.1016/j.csda.2011.04.012>).

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-vim

Usage Tracking

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About

Summary

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 (<doi:10.1007/s11634-011-0102-y>). A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods. Fast imputation methods such as k-nearest neighbor imputation (<doi:10.18637/jss.v074.i07>) and imputation using robust methods are provided (<doi:10.1016/j.csda.2011.04.012>).

Last Updated

Aug 25, 2022 at 16:41

License

GPL-2.0-or-later

Total Downloads

171.5K

Supported Platforms

macOS-64
win-64
linux-64
linux-aarch64
linux-ppc64le