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
DOI: 10.32614/CRAN.package.pavo
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-GB
Citation: pavo citation info
Materials: README NEWS
CRAN checks: pavo results


Reference manual: pavo.pdf
Vignettes: Introduction to pavo


Package source: pavo_2.9.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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