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charisma  

Reproducible Color Characterization of Digital Images for Biological Studies
View on CRAN: Click here


Download and install charisma package within the R console
Install from CRAN:
install.packages("charisma")

Install from Github:
library("remotes")
install_github("cran/charisma")

Install by package version:
library("remotes")
install_version("charisma", "1.0.0")



Attach the package and use:
library("charisma")
Maintained by
Shawn Schwartz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-08
Latest Update: 2025-12-08
Description:
Provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the 'recolorize' package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and integrates with 'pavo' (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses.
How to cite:
Shawn Schwartz (2025). charisma: Reproducible Color Characterization of Digital Images for Biological Studies. R package version 1.0.0, https://cran.r-project.org/web/packages/charisma. Accessed 24 Oct. 2026.
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