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

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

Version: 2.2.0
Depends: R (≥ 3.2.0)
Imports: geometry, pbmcapply, plot3D, rcdd, sp, magick, cluster, viridisLite
Suggests: digest, imager, knitr, mapproj, rgl, rmarkdown, testthat, NbClust, xml2
Published: 2019-06-25
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 zips.uakron.edu>
BugReports: https://github.com/rmaia/pavo/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://rafaelmaia.net/pavo/, 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: (1) Overview
(2) Importing, Processing, and Visualising Data
(3) Analysing Data
Spectral Shape Descriptors
Package source: pavo_2.2.0.tar.gz
Windows binaries: r-devel: pavo_2.2.0.zip, r-devel-gcc8: pavo_2.2.0.zip, r-release: pavo_2.2.0.zip, r-oldrel: pavo_2.2.0.zip
OS X binaries: r-release: pavo_2.2.0.tgz, r-oldrel: pavo_2.2.0.tgz
Old sources: pavo archive

Reverse dependencies:

Reverse suggests: lightr, photobiologyInOut

Linking:

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