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

A cohesive framework for parsing, analyzing and organizing colour from spectral data.

Version: 2.4.0
Depends: R (≥ 3.5.0)
Imports: cluster, future.apply, geometry (≥ 0.4.0), lightr (≥ 1.0), magick, plot3D, progressr, sp, viridisLite
Suggests: digest, imager, knitr, mapproj, NbClust, rgl, rmarkdown, testthat
Published: 2020-02-08
Author: Rafael Maia ORCID iD [aut, cre], Thomas White ORCID iD [aut], Hugo Gruson ORCID iD [aut], John Endler [aut], Chad Eliason [aut], Pierre-Paul Bitton ORCID iD [aut]
Maintainer: Rafael Maia <rm72 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: (1) Overview
(2) Importing, Processing, and Visualising Data
(3) Analysing Data
Spectral Shape Descriptors
Package source: pavo_2.4.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: pavo_2.4.0.tgz, r-release: pavo_2.4.0.tgz, r-oldrel: pavo_2.4.0.tgz
Old sources: pavo archive

Reverse dependencies:

Reverse suggests: lightr, photobiologyInOut


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