A simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.

Color palettes for EPL, MLB, NBA, NHL, and NFL teams.

A color mapping is generated according to the break values and corresponding colors.
    Other colors are generated by interpolating in a certain color space. The functions were part
    of the 'circlize' package <https://CRAN.R-project.org/package=circlize>.

Generate multivariate color palettes to represent two-dimensional or three-dimensional data in graphics (in contrast to standard color palettes that represent just one variable). You tell 'colors3d' how to map color space onto your data, and it gives you a color for each data point. You can then use these colors to make plots in base 'R', 'ggplot2', or other graphics frameworks.

Methods and data for color science - color conversions by observer,
        illuminant, and gamma. Color matching functions and chromaticity diagrams.
        Color indices, color differences, and spectral data conversion/analysis.
        This package is deprecated and will someday be removed; for reasons and details please see the README file.

Generation of random colors, possibly with a given hue or a
    given luminosity. This is a port of the JavaScript library
    'randomColor' <https://randomcolor.lllllllllllllllll.com/>.

Carries out mapping between assorted color spaces including RGB, HSV, HLS,
             CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB.
	     Qualitative, sequential, and diverging color palettes based on HCL colors
	     are provided along with corresponding ggplot2 color scales.
	     Color palette choice is aided by an interactive app (with either a Tcl/Tk
	     or a shiny graphical user interface) and shiny apps with an HCL color picker and a
	     color vision deficiency emulator. Plotting functions for displaying
	     and assessing palettes include color swatches, visualizations of the
	     HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation
	     functions include: desaturation, lightening/darkening, mixing, and
	     simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly).
	     Details can be found on the project web page at <https://colorspace.R-Forge.R-project.org/>
	     and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical
	     Software, <doi:10.18637/jss.v096.i01>).