Reproducible Color Characterization of Digital Images for Biological Studies R package charisma version 1.0.0 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. Software Depends: R (>= 4.0.0) Imports: magrittr, plyr, dplyr, tibble, purrr, tidyr, parallel, recolorize, imager, abind, jpeg, png, grDevices, graphics, stats, tools, utils Suggests: pavo, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown Shawn Schwartz <shawn.t.schwartz@gmail.com> Comprehensive R Archive Network (CRAN) Shawn Schwartz [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-6444-8451>), Whitney Tsai [aut] (ORCID: <https://orcid.org/0000-0003-3274-2829>), Elizabeth Karan [aut] (ORCID: <https://orcid.org/0000-0003-1942-0307>), Mark Juhn [aut], Allison Shultz [aut] (ORCID: <https://orcid.org/0000-0002-2089-4086>), John McCormack [aut] (ORCID: <https://orcid.org/0000-0002-0912-1461>), Thomas Smith [aut] (ORCID: <https://orcid.org/0000-0002-5978-6912>), Michael Alfaro [aut] (ORCID: <https://orcid.org/0000-0002-8898-8230>) MIT + file LICENSE (https://CRAN.R-project.org/package=charisma/LICENSE) 2025-12-08 application/tgz https://CRAN.R-project.org/package=charisma doi:10.32614/CRAN.package.charisma