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pavo: Perceptual Analysis, Visualization and Organization of Spectral Colour Data

A cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019) <doi:10.1111/2041-210X.13174>.

Version: 2.9.0
Depends: R (≥ 3.5.0)
Imports: cluster, future.apply, geometry (≥ 0.4.0), lightr (≥ 1.0), magick, farver, plot3D, progressr, sf, viridisLite
Suggests: alphashape3d, imager, knitr, mapproj, rgl, rmarkdown, testthat (≥ 2.99.0), vdiffr, digest
Published: 2023-09-24
Author: Thomas White ORCID iD [aut, cre], Rafael Maia ORCID iD [aut], Hugo Gruson ORCID iD [aut], John Endler [aut], Chad Eliason [aut], Pierre-Paul Bitton ORCID iD [aut]
Maintainer: Thomas White <thomas.white026 at gmail.com>
BugReports: https://github.com/rmaia/pavo/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://pavo.colrverse.com, https://github.com/rmaia/pavo/
NeedsCompilation: no
Language: en-GB
Citation: pavo citation info
Materials: README NEWS
CRAN checks: pavo results

Documentation:

Reference manual: pavo.pdf
Vignettes: Introduction to pavo

Downloads:

Package source: pavo_2.9.0.tar.gz
Windows binaries: r-devel: pavo_2.9.0.zip, r-release: pavo_2.9.0.zip, r-oldrel: pavo_2.9.0.zip
macOS binaries: r-release (arm64): pavo_2.9.0.tgz, r-oldrel (arm64): pavo_2.9.0.tgz, r-release (x86_64): pavo_2.9.0.tgz, r-oldrel (x86_64): pavo_2.9.0.tgz
Old sources: pavo archive

Reverse dependencies:

Reverse imports: recolorize
Reverse suggests: lightr, photobiologyInOut

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pavo 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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