njtierney/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) <doi:10.18637/jss.v105.i07>.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.1.0.9000
URL https://github.com/njtierney/naniar https://naniar.njtierney.com/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("njtierney/naniar")
njtierney/naniar documentation built on March 19, 2024, 9:48 p.m.