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: 7.1.2
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-12 15:27:31 UTC; qdread
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>
Repository: CRAN
Date/Publication: 2022-09-12 16:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:48:24 UTC; unix
