palettecore: Derive, Optimise and Audit a Scientific Colour Palette from One Seed Colour

Generates sequential, diverging and categorical colour palettes from a single seed colour in OKLCH (the cylindrical lightness-chroma-hue representation of the Oklab perceptual colour space), with spacing measured by the CIEDE2000 colour-difference formula of the International Commission on Illumination. Audits every palette under simulated colour-vision deficiency, greyscale conversion, the standard Red Green Blue (sRGB) gamut and Web Content Accessibility Guidelines (WCAG) contrast. Colour-vision deficiency is simulated at severity 1.0 with the model of Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>; the design rationale follows Crameri, Shephard and Heron (2020) <doi:10.1038/s41467-020-19160-7>. Mirrors the 'Python' reference implementation maintained in the same repository and is validated against shared parity fixtures. Thresholds are configurable design rules, not established accessibility cut-offs.

Version:	0.4.1
Depends:	R (≥ 4.1)
Imports:	stats, utils
Suggests:	ggplot2, jsonlite
Published:	2026-08-09
DOI:	10.32614/CRAN.package.palettecore
Author:	Heidi Helena Andersén [aut, cre]
Maintainer:	Heidi Helena Andersén <andersenheidihelena at gmail.com>
BugReports:	https://github.com/heidihelena/palettecore/issues
License:	Apache License (≥ 2)
URL:	https://github.com/heidihelena/palettecore
NeedsCompilation:	no
CRAN checks:	palettecore results

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