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<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>O-Stats, or Pairwise Community-Level Niche Overlap Statistics</dc:title>
  <dc:title>R package Ostats version 0.2.0</dc:title>
  <dc:description>O-statistics, or overlap statistics, measure the degree of community-level trait overlap. 
    They are estimated by fitting nonparametric kernel density functions to each species’ trait 
    distribution and calculating their areas of overlap. For instance, the median pairwise overlap 
    for a community is calculated by first determining the overlap of each species pair 
    in trait space, and then taking the median overlap of each species pair in a community. 
    This median overlap value is called the O-statistic (O for overlap).
    The Ostats() function calculates separate univariate overlap statistics for each trait, 
    while the Ostats_multivariate() function calculates a single multivariate overlap statistic for all traits. 
    O-statistics can be evaluated against null models to obtain standardized effect sizes. 
    'Ostats' is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale 
    drivers of biodiversity across the National Ecological Observatory Network (NEON)." 
    For more information on this project, see the Macrosystems Biodiversity Website 
    (&lt;https://neon-biodiversity.github.io/&gt;). Calculation of O-statistics is described in
    Read et al. (2018) &lt;doi:10.1111/ecog.03641&gt;, and a teaching module for introducing the
    underlying biological concepts at an undergraduate level is described in Grady et al.
    (2018) &lt;http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: sfsmisc, matrixStats, circular, hypervolume, ggplot2,
gridExtra, viridis, grid, MASS</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 2.1.0), knitr, rmarkdown</dc:relation>
  <dc:creator>Quentin D. Read &lt;quentin.read@usda.gov&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Quentin D. Read [aut, cre],
  Arya Yue [aut],
  Isadora E. Fluck [aut],
  Benjamin Baiser [aut],
  John M. Grady [aut],
  Phoebe L. Zarnetske [aut],
  Sydne Record [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=Ostats/LICENSE)</dc:rights>
  <dc:date>2022-09-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Ostats</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Ostats</dc:identifier>
</oai_dc:dc>