bblonder/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.

Getting started

Package details

AuthorBenjamin Blonder, Naia Morueta-Holme
MaintainerBenjamin Blonder <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
bblonder/netassoc documentation built on May 11, 2019, 9:26 p.m.