netassoc: Inference of Species Associations from Co-Occurrence Data

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
Depends:	igraph, infotheo
Imports:	corpcor, huge, vegan
Published:	2022-07-20
Author:	Benjamin Blonder, Naia Morueta-Holme
Maintainer:	Benjamin Blonder <benjamin.blonder at berkeley.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	netassoc results

Documentation:

Reference manual:

netassoc.pdf

Downloads:

Package source:	netassoc_0.7.0.tar.gz
Windows binaries:	r-devel: netassoc_0.7.0.zip, r-release: netassoc_0.7.0.zip, r-oldrel: netassoc_0.7.0.zip
macOS binaries:	r-release (arm64): netassoc_0.7.0.tgz, r-oldrel (arm64): netassoc_0.7.0.tgz, r-release (x86_64): netassoc_0.7.0.tgz, r-oldrel (x86_64): netassoc_0.7.0.tgz
Old sources:	netassoc archive

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