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 (2023)
- Version1.1.0
- R version≥ 3.1.2
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Languageen-US
- naniar citation info
- Last release03/05/2024
Documentation
Team
Nicholas Tierney
Di Cook
Miles McBain
Colin Fay
Mitchell O'Hara-Wild
Show author detailsRolesContributorJim Hester
Show author detailsRolesContributorLuke Smith
Show author detailsRolesContributorAndrew Heiss
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- Depends1 package
- Imports17 packages
- Suggests14 packages
- Reverse Imports5 packages
- Reverse Suggests1 package