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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, r-oldrel (x86_64): nullabor_0.3.9.tgz
Old sources: nullabor archive

Reverse dependencies:

Reverse imports: metaviz, regressinator
Reverse suggests: agridat

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nullabor to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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