netassoc: Inference of Species Associations from Co-Occurrence Data (original) (raw)
Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.
Version: | 0.7.0 |
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Depends: | igraph, infotheo |
Imports: | corpcor, huge, vegan |
Published: | 2022-07-20 |
DOI: | 10.32614/CRAN.package.netassoc |
Author: | Benjamin Blonder, Naia Morueta-Holme |
Maintainer: | Benjamin Blonder <benjamin.blonder at berkeley.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | netassoc results |
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