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, Grsuon, Endler & White (2019) <doi:10.1111/2041-210X.13174>.

Version: 2.7.1
Depends: R (≥ 3.5.0)
Imports: cluster, future.apply, geometry (≥ 0.4.0), lightr (≥ 1.0), magick, farver, plot3D, progressr, sp, viridisLite
Suggests: alphashape3d, digest, imager, knitr, mapproj, rgl, rmarkdown, testthat (≥ 2.99.0)
Published: 2021-09-21
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

Downloads:

Reference manual: pavo.pdf
Vignettes: Introduction to pavo
Package source: pavo_2.7.1.tar.gz
Windows binaries: r-devel: pavo_2.7.1.zip, r-release: pavo_2.7.1.zip, r-oldrel: pavo_2.7.1.zip
macOS binaries: r-release (arm64): pavo_2.7.1.tgz, r-release (x86_64): pavo_2.7.1.tgz, r-oldrel: pavo_2.7.1.tgz
Old sources: pavo archive

Reverse dependencies:

Reverse suggests: lightr, photobiologyInOut

Linking:

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