nullabor: Tools for Graphical Inference

Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.

Version: 0.3.15
Depends: R (≥ 4.1.0)
Imports: MASS, moments, fpc, ggplot2, dplyr, purrr, tidyr, tibble, magrittr, stats
Suggests: forecast, viridis, knitr
Published: 2025-02-10
Author: Hadley Wickham ORCID iD [aut, ctb], Niladri Roy Chowdhury [aut, ctb], Di Cook ORCID iD [aut, cre], Heike Hofmann ORCID iD [aut, ctb], Måns Thulin ORCID iD [aut, ctb]
Maintainer: Di Cook <dicook at monash.edu>
BugReports: https://github.com/dicook/nullabor/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/dicook/nullabor
NeedsCompilation: no
Citation: nullabor citation info
Materials: README NEWS
CRAN checks: nullabor results

Documentation:

Reference manual: nullabor.pdf
Vignettes: Distances between null and data plots (source, R code)
Assessing distributional assumptions using the nullabor package (source, R code)
Example lineups (source, R code)
Residual plots for linear models (source, R code)
An Introduction to the nullabor package (source, R code)

Downloads:

Package source: nullabor_0.3.15.tar.gz
Windows binaries: r-devel: nullabor_0.3.12.zip, r-release: nullabor_0.3.12.zip, r-oldrel: nullabor_0.3.12.zip
macOS binaries: r-release (arm64): nullabor_0.3.15.tgz, r-oldrel (arm64): nullabor_0.3.12.tgz, r-release (x86_64): nullabor_0.3.15.tgz, r-oldrel (x86_64): nullabor_0.3.12.tgz
Old sources: nullabor archive

Reverse dependencies:

Reverse imports: metaviz, regressinator
Reverse suggests: agridat

Linking:

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