DESCRIPTION

Package: naniar
Type: Package
Title: Data Structures, Summaries, and Visualisations for Missing Data
Version: 1.1.0.9000
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 (2023) 
    <doi:10.18637/jss.v105.i07>.
License: MIT + file LICENSE
LazyData: TRUE
ByteCompile: TRUE
Suggests:
    knitr,
    rmarkdown,
    testthat (>= 3.0.0),
    rpart,
    rpart.plot,
    gridExtra,
    wakefield,
    vdiffr,
    here,
    simputation,
    imputeTS,
    Hmisc,
    spelling
VignetteBuilder: knitr
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
Collate:
    'add-cols.R'
    'add-n-prop-miss.R'
    'any-na-complete.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'
    'impute-factor.R'
    'impute-fixed.R'
    'impute-median.R'
    'impute-mode.R'
    'impute-zero.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'
    'replace_na_with.R'
    'scoped-replace-with-na.R'
    'set-n-prop-miss.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,
    https://naniar.njtierney.com/
BugReports: https://github.com/njtierney/naniar/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Language: en-US
Config/testthat/edition: 3