netassoc-package: Inference of Species Associations from Co-Occurrence Data

netassoc-packageR Documentation

Inference of Species Associations from Co-Occurrence Data

Description

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.

Author(s)

Benjamin Blonder, Naia Morueta-Holme

Maintainer: Benjamin Blonder <bblonder@gmail.com>

References

Morueta-Holme, N., Blonder, B., et al. A network approach for inferring species associations from co-occurrence data. (in review)


bblonder/netassoc documentation built on July 22, 2022, 3:10 a.m.