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 <[email protected]>
LicenseGPL-3
Version0.6.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("bblonder/netassoc")
bblonder/netassoc documentation built on June 4, 2017, 2:16 a.m.