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mde: Missing Data Explorer

Correct identification and handling of missing data is one of the most important steps in any analysis. To aid this process, 'mde' provides a very easy to use yet robust framework to quickly get an idea of where the missing data lies and therefore find the most appropriate action to take. Graham WJ (2009) <doi:10.1146/annurev.psych.58.110405.085530>.

Version:0.3.2
Depends:R (≥ 3.6.0)
Imports:dplyr (≥ 1.0.0),tidyr (≥ 1.0.3)
Suggests:knitr,rmarkdown,markdown,testthat
Published:2022-02-10
DOI:10.32614/CRAN.package.mde
Author:Nelson Gonzabato [aut, cre]
Maintainer:Nelson Gonzabato <gonzabato at hotmail.com>
BugReports:https://github.com/Nelson-Gon/mde/issues
License:GPL-3
URL:https://github.com/Nelson-Gon/mde
NeedsCompilation:no
Materials:NEWS
In views:MissingData
CRAN checks:mde results

Documentation:

Reference manual:mde.html ,mde.pdf
Vignettes:mde-Missing-Data-Explorer (source,R code)
mde-missingness (source,R code)
recoding-to-from-na (source,R code)

Downloads:

Package source: mde_0.3.2.tar.gz
Windows binaries: r-devel:mde_0.3.2.zip, r-release:mde_0.3.2.zip, r-oldrel:mde_0.3.2.zip
macOS binaries: r-release (arm64):mde_0.3.2.tgz, r-oldrel (arm64):mde_0.3.2.tgz, r-release (x86_64):mde_0.3.2.tgz, r-oldrel (x86_64):mde_0.3.2.tgz
Old sources: mde archive

Linking:

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