[aut,
cre],
Thomas White
[aut],
Hugo Gruson [aut],
John Endler [aut],
Chad Eliason [aut],
Pierre-Paul Bitton
[aut]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 [aut,
cre],
Thomas White
[aut],
Hugo Gruson [aut],
John Endler [aut],
Chad Eliason [aut],
Pierre-Paul Bitton
[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://pavo.colrverse.com, https://github.com/rmaia/pavo/ |
| 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-devel: pavo_2.4.0.zip, r-release: pavo_2.4.0.zip, r-oldrel: pavo_2.4.0.zip |
| macOS binaries: | r-release: pavo_2.4.0.tgz, r-oldrel: pavo_2.4.0.tgz |
| Old sources: | pavo archive |
| Reverse suggests: | lightr, photobiologyInOut |
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