_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-naniar 1.1.0
Propagated dependencies: r-cli@3.6.3 r-dplyr@1.1.4 r-forcats@1.0.0 r-ggplot2@3.5.1 r-glue@1.8.0 r-lifecycle@1.0.4 r-magrittr@2.0.3 r-norm@1.0-11.1 r-purrr@1.0.2 r-rlang@1.1.4 r-tibble@3.2.1 r-tidyr@1.3.1 r-upsetr@1.4.0 r-vctrs@0.6.5 r-viridis@0.6.5 r-visdat@0.6.0
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://github.com/njtierney/naniar
Licenses: Expat
Synopsis: Data structures, summaries, and visualisations for missing data
Description:

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. The package 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.

Total results: 1