CRAN/E | VIM

VIM

Visualization and Imputation of Missing Values

Installation

About

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.

Citation VIM citation info
github.com/statistikat/VIM

Key Metrics

Version 6.2.2
R ≥ 3.5.0
Published 2022-08-25 608 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks VIM results

Downloads

Yesterday 644 0%
Last 7 days 2.824 -35%
Last 30 days 14.639 +0%
Last 90 days 40.124 -14%
Last 365 days 165.937 -23%

Maintainer

Maintainer

Matthias Templ

matthias.templ@gmail.com

Authors

Matthias Templ

aut / cre

Alexander Kowarik

aut

Andreas Alfons

aut

Gregor de Cillia

aut

Bernd Prantner

ctb

Wolfgang Rannetbauer

aut

Material

NEWS
Reference manual
Package source

In Views

MissingData
OfficialStatistics

Vignettes

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

VIM archive

Depends

R ≥ 3.5.0
colorspace
grid

Imports

car
grDevices
magrittr
robustbase
stats
sp
vcd
MASS
nnet
e1071
methods
Rcpp
utils
graphics
laeken
ranger
data.table ≥ 1.9.4

Suggests

dplyr
tinytest
knitr
rmarkdown
reactable
covr
withr

LinkingTo

Rcpp

Reverse Imports

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mdapack
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