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. The work is fully discussed at Tierney & Cook (2018) <arXiv:1809.02264>.

Version:	0.6.1
Depends:	R (≥ 3.1.2)
Imports:	dplyr, ggplot2, purrr, tidyr, tibble (≥ 2.0.0), norm, magrittr, stats, visdat, rlang, forcats, viridis, glue, UpSetR
Suggests:	knitr, rmarkdown, testthat (≥ 2.1.0), rpart, rpart.plot, covr, gridExtra, wakefield, vdiffr, here, simputation, imputeTS, gdtools, Hmisc, spelling
Published:	2021-05-14
Author:	Nicholas Tierney [aut, cre], Di Cook [aut], Miles McBain [aut], Colin Fay [aut], Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb], Andrew Heiss [ctb]
Maintainer:	Nicholas Tierney <nicholas.tierney at gmail.com>
BugReports:	https://github.com/njtierney/naniar/issues
License:	MIT + file LICENSE
URL:	https://github.com/njtierney/naniar
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
In views:	MissingData
CRAN checks:	naniar results

Documentation:

Reference manual:	naniar.pdf
Vignettes:	Exploring Imputed Values Getting Started with naniar Gallery of Missing Data Visualisations Replacing values with NA Special Missing Values

Downloads:

Package source:	naniar_0.6.1.tar.gz
Windows binaries:	r-devel: naniar_0.6.1.zip, r-release: naniar_0.6.1.zip, r-oldrel: naniar_0.6.1.zip
macOS binaries:	r-release (arm64): naniar_0.6.1.tgz, r-oldrel (arm64): naniar_0.6.1.tgz, r-release (x86_64): naniar_0.6.1.tgz, r-oldrel (x86_64): naniar_0.6.1.tgz
Old sources:	naniar archive

Reverse dependencies:

Reverse imports:

povcalnetR, suddengains

Linking:

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