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: 0.3.0
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 0.8.9), tidyr (≥ 1.0.3)
Suggests: knitr, rmarkdown, testthat, covr
Published: 2021-02-07
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
CRAN checks: mde results

Downloads:

Reference manual: mde.pdf
Vignettes: mde-Missing-Data-Explorer
Package source: mde_0.3.0.tar.gz
Windows binaries: r-devel: mde_0.3.0.zip, r-release: mde_0.3.0.zip, r-oldrel: mde_0.3.0.zip
macOS binaries: r-release (arm64): mde_0.3.0.tgz, r-release (x86_64): mde_0.3.0.tgz, r-oldrel: mde_0.3.0.tgz
Old sources: mde archive

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