athea

Repositories Projects Packages

naniar (1.1.0)

Published 2026-02-24 13:47:21 +00:00 by atheaadmin

Installation

Setup this registry in your Rprofile.site file:

options("repos" = c(getOption("repos"), c(gitea="")))

To install the package, run the following command:

install.packages("naniar")

For more information on the CRAN registry, see the documentation.

About this package

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)Data Structures, Summaries, and Visualisations for Missing Data

Dependencies

Imports	dplyr, ggplot2, purrr, tidyr, tibble (>= 2.0.0), norm, magrittr, stats, visdat, rlang (>= 1.1.0), forcats, viridis, glue, UpSetR, cli, vctrs, lifecycle
Depends	R (>= 3.1.2)
Suggests	knitr, rmarkdown, testthat (>= 3.0.0), rpart, rpart.plot, covr, gridExtra, wakefield, vdiffr, here, simputation, imputeTS, Hmisc, spelling

Details

CRAN

2026-02-24 13:47:21 +00:00

0

MIT + file LICENSE

Nicholas Tierney

Di Cook

Miles McBain

Colin Fay

Mitchell O'Hara-Wild

Jim Hester

Luke Smith

Andrew Heiss

Project Site

Project Site

2.7 MiB

Assets (1)

naniar_1.1.0.tar.gz 2.7 MiB

Versions (1) View all

1.1.0 2026-02-24