<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Covariance-Based Ellipses and Annotation Tools for Ordination
Plots</dc:title>
  <dc:title>R package barrel version 0.1.0</dc:title>
  <dc:description>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) &lt;doi:10.1371/journal.pone.0118537&gt;. 
    Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) &lt;doi:10.1002/wics.1421&gt;. 
    This approach reduces the influence of outliers. 
    barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: robustbase, ggplot2, stats, ggrepel, vegan, grid, rlang</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0), vdiffr</dc:relation>
  <dc:creator>Diego Barranco-Elena &lt;diego.barranco@udl.cat&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Diego Barranco-Elena [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=barrel/LICENSE)</dc:rights>
  <dc:date>2025-11-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=barrel</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.barrel</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
