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) .


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Reference manual

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install.packages("mde")

0.2.1 by Nelson Gonzabato, 3 months ago


https://github.com/Nelson-Gon/mde


Report a bug at https://github.com/Nelson-Gon/mde/issues


Browse source code at https://github.com/cran/mde


Authors: Nelson Gonzabato [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, tidyr

Suggests knitr, rmarkdown, testthat, covr


See at CRAN