Data Structures, Summaries, and Visualisations for Missing Data R package naniar version 1.1.0 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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 (2023) <doi:10.18637/jss.v105.i07>. Software Depends: R (>= 3.1.2) Imports: dplyr, ggplot2, purrr, tidyr, tibble (>= 2.0.0), norm, magrittr, stats, visdat, rlang (>= 1.1.0), forcats, viridis, glue, UpSetR, cli, vctrs, lifecycle Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rpart, rpart.plot, covr, gridExtra, wakefield, vdiffr, here, simputation, imputeTS, Hmisc, spelling Nicholas Tierney <nicholas.tierney@gmail.com> Comprehensive R Archive Network (CRAN) Nicholas Tierney [aut, cre] (ORCID: <https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (ORCID: <https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (ORCID: <https://orcid.org/0000-0001-7343-1846>), Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb], Andrew Heiss [ctb] (ORCID: <https://orcid.org/0000-0002-3948-3914>) MIT + file LICENSE (https://CRAN.R-project.org/package=naniar/LICENSE) 2024-03-05 application/tgz https://CRAN.R-project.org/package=naniar doi:10.32614/CRAN.package.naniar en-US