barrel: Covariance-Based Ellipses and Annotation Tools for Ordination
Plots
Provides tools to visualize ordination results in 'R' by adding covariance-based ellipses, centroids, vectors, and confidence regions to plots created with 'ggplot2'. 
    The package extends the 'vegan' framework and supports Principal Component Analysis (PCA), Redundancy Analysis (RDA), and Non-metric Multidimensional Scaling (NMDS). 
    Ellipses can represent either group dispersion (standard deviation, SD) or centroid precision (standard error, SE), following Wang et al. (2015) <doi:10.1371/journal.pone.0118537>. 
    Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) <doi:10.1002/wics.1421>. 
    This approach reduces the influence of outliers. 
    barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.
| Version: | 
0.1.0 | 
| Imports: | 
robustbase, ggplot2, stats, ggrepel, vegan, grid, rlang | 
| Suggests: | 
knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr | 
| Published: | 
2025-11-03 | 
| DOI: | 
10.32614/CRAN.package.barrel (may not be active yet) | 
| Author: | 
Diego Barranco-Elena [aut, cre] | 
| Maintainer: | 
Diego Barranco-Elena  <diego.barranco at udl.cat> | 
| License: | 
MIT + file LICENSE | 
| NeedsCompilation: | 
no | 
| Language: | 
en-US | 
| Materials: | 
README, NEWS  | 
| CRAN checks: | 
barrel results | 
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