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) .


Reference manual

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0.3.1 by Nelson Gonzabato, 2 months ago


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, markdown, testthat, covr

See at CRAN