Package: naniar
Type: Package
Title: Data Structures, Summaries, and Visualisations for Missing Data
Version: 0.6.1
Authors@R: c(
  person("Nicholas", "Tierney", 
         role = c("aut", "cre"),
         email = "nicholas.tierney@gmail.com", 
         comment = c(ORCID = "https://orcid.org/0000-0003-1460-8722")),
  person("Di", "Cook",
         role = "aut",
         email = "dicook@monash.edu", 
         comment = c(ORCID = "https://orcid.org/0000-0002-3813-7155")),
  person("Miles", "McBain",
         role = "aut",
         email = "miles.mcbain@gmail.com",
         comment = c(ORCID = "https://orcid.org/0000-0003-2865-2548")), 
  person("Colin", "Fay", 
         role = "aut", 
         email = "contact@colinfay.me",
         comment = c(ORCID = "https://orcid.org/0000-0001-7343-1846")),
  person("Mitchell", "O'Hara-Wild",
         role = "ctb"),
  person("Jim", "Hester", 
         role = "ctb", 
         email = "james.f.hester@gmail.com"),
  person("Luke", "Smith", 
         role = "ctb"),
  person("Andrew", "Heiss", 
         role = "ctb",
         email = "andrew@andrewheiss.com", 
         comment = c(ORCID = "https://orcid.org/0000-0002-3948-3914"))
  )
Description: 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>.
License: MIT + file LICENSE
LazyData: TRUE
ByteCompile: TRUE
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), rpart, rpart.plot,
        covr, gridExtra, wakefield, vdiffr, here, simputation,
        imputeTS, gdtools, Hmisc, spelling
VignetteBuilder: knitr
Depends: R (>= 3.1.2)
Imports: dplyr, ggplot2, purrr, tidyr, tibble (>= 2.0.0), norm,
        magrittr, stats, visdat, rlang, forcats, viridis, glue, UpSetR
Collate: 'add-cols.R' 'add-n-prop-miss.R' 'cast-shadows.R'
        'data-common-na-numbers.R' 'data-common-na-strings.R'
        'data-oceanbuoys.R' 'data-pedestrian.R' 'data-riskfactors.R'
        'legend-draw.R' 'geom-miss-point.R' 'geom2plotly.R'
        'gg-miss-case-cumsum.R' 'gg-miss-case.R' 'gg-miss-fct.R'
        'gg-miss-span.R' 'gg-miss-upset.R' 'gg-miss-var-cumsum.R'
        'gg-miss-var.R' 'gg-miss-which.R' 'helpers.R' 'impute-median.R'
        'impute_below.R' 'impute_mean.R' 'label-miss.R' 'mcar-test.R'
        'miss-complete-x-pct-prop.R' 'miss-prop-pct-summary.R'
        'miss-scan-count.R' 'miss-x-cumsum.R' 'miss-x-run.R'
        'miss-x-span.R' 'miss-x-summary.R' 'miss-x-table.R'
        'n-prop-miss-complete-rows.R' 'n-prop-miss-complete.R'
        'n-var-miss.R' 'nabular.R' 'naniar-ggproto.R'
        'naniar-package.R' 'prop-pct-var-case-miss-complete.R'
        'replace-to-na.R' 'replace-with-na.R'
        'scoped-replace-with-na.R' 'shade.R' 'shadow-recode.R'
        'shadow-shifters.R' 'shadows.R' 'stat-miss-point.R' 'utils.R'
        'where-na.R'
URL: https://github.com/njtierney/naniar
BugReports: https://github.com/njtierney/naniar/issues
Encoding: UTF-8
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-14 09:28:56 UTC; njtierney
Author: Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>),
  Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>),
  Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>),
  Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>),
  Mitchell O'Hara-Wild [ctb],
  Jim Hester [ctb],
  Luke Smith [ctb],
  Andrew Heiss [ctb] (<https://orcid.org/0000-0002-3948-3914>)
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-14 10:20:02 UTC
Built: R 4.0.5; ; 2022-04-21 11:57:53 UTC; windows
