Package: Ostats
Type: Package
Title: O-Stats, or Pairwise Community-Level Niche Overlap Statistics
Version: 0.2.0
Authors@R: c(person(c('Quentin', 'D.'), 'Read', role = c('aut', 'cre'), email = 'quentin.read@usda.gov'),
             person('Arya', 'Yue', role = 'aut'),
             person(c('Isadora', 'E.'), 'Fluck', role = 'aut'),
             person('Benjamin', 'Baiser', role = 'aut'),
             person(c('John', 'M.'), 'Grady', role = 'aut'),
             person(c('Phoebe', 'L.'), 'Zarnetske', role = 'aut'),
             person('Sydne', 'Record', role = 'aut')
             )
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
        (<https://neon-biodiversity.github.io/>). Calculation of
        O-statistics is described in Read et al. (2018)
        <doi:10.1111/ecog.03641>, and a teaching module for introducing
        the underlying biological concepts at an undergraduate level is
        described in Grady et al. (2018)
        <http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://neon-biodiversity.github.io/Ostats/
BugReports: https://github.com/NEON-biodiversity/Ostats/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: sfsmisc, matrixStats, circular, hypervolume, ggplot2,
        gridExtra, viridis, grid, MASS
RoxygenNote: 7.3.2
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libgmp3-dev
        libicu-dev libproj-dev libsqlite3-dev
Repository: https://neon-biodiversity.r-universe.dev
Date/Publication: 2024-11-19 11:32:53 UTC
RemoteUrl: https://github.com/neon-biodiversity/ostats
RemoteRef: HEAD
RemoteSha: c674dd3c3f2998f2308e172bfeacb61634e4b3f0
NeedsCompilation: no
Packaged: 2026-07-16 05:02:23 UTC; root
Author: 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]
Maintainer: Quentin D. Read <quentin.read@usda.gov>