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: 0.3.9
Imports: MASS, rlang, moments, fpc, tsibble, forecast, ggplot2, dplyr, purrr, tidyr, tibble, magrittr, viridis
Suggests: reshape2, knitr
Published: 2020-02-25
Author: Hadley Wickham ORCID iD [aut, ctb], Niladri Roy Chowdhury [aut, ctb], Di Cook ORCID iD [aut, cre], Heike Hofmann ORCID iD [aut, ctb]
Maintainer: Di Cook <dicook at monash.edu>
BugReports: http://github.com/dicook/nullabor/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://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
Example lineups in nullabor
An Introduction to the nullabor package

Downloads:

Package source: nullabor_0.3.9.tar.gz
Windows binaries: r-devel: nullabor_0.3.9.zip, r-release: nullabor_0.3.9.zip, r-oldrel: nullabor_0.3.9.zip
macOS binaries: r-release (arm64): nullabor_0.3.9.tgz, r-oldrel (arm64): nullabor_0.3.9.tgz, r-release (x86_64): nullabor_0.3.9.tgz
Old sources: nullabor archive

Reverse dependencies:

Reverse imports: metaviz, regressinator
Reverse suggests: agridat

Linking:

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