charisma
1.0.0Reproducible Color Characterization of Digital Images for Biological Studies
Overview
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.
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Health
- OK2026-04-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0913 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 63%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 40%
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-12-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 0.5 KB / 1 file
- Download size
- 4.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet