naniar: Data Structures, Summaries, and Visualisations for Missing Data

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data.

Version: 0.1.0
Depends: R (≥ 3.1.2)
Imports: dplyr, ggplot2, purrr, tidyr, tibble, magrittr, stats, visdat, purrrlyr, rlang, forcats, viridis
Suggests: knitr, rmarkdown, testthat, rpart, rpart.plot, covr, gridExtra, wakefield, vdiffr, here, simputation, imputeTS
Published: 2017-08-09
Author: Nicholas Tierney [aut, cre], Di Cook [aut], Miles McBain [aut], Colin Fay [aut]
Maintainer: Nicholas Tierney <nicholas.tierney at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: naniar results


Reference manual: naniar.pdf
Vignettes: Getting Started with naniar
Gallery of Missing Data Visualisations
Package source: naniar_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: naniar_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: naniar_0.1.0.tgz


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