EcoNetGen: Simulate and Sample from Ecological Interaction Networks

Randomly generate a wide range of interaction networks with specified size, average degree, modularity, and topological structure. Sample nodes and links from within simulated networks randomly, by degree, by module, or by abundance. Simulations and sampling routines are implemented in 'FORTRAN', providing efficient generation times even for large networks. Basic visualization methods also included. Algorithms implemented here are described in de Aguiar et al. (2017) <arXiv:1708.01242>.

Getting started

Package details

AuthorMarcus de Aguiar [aut, cph] (<https://orcid.org/0000-0003-1379-7568>), Erica Newman [aut] (<https://orcid.org/0000-0001-6433-8594>), Mathias Pires [aut] (<https://orcid.org/0000-0003-2500-4748>), NIMBioS [fnd], Carl Boettiger [aut, cre] (<https://orcid.org/0000-0003-4580-091X>)
MaintainerCarl Boettiger <cboettig@gmail.com>
LicenseGPL-3
Version0.2.4
URL https://github.com/cboettig/EcoNetGen
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EcoNetGen")

Try the EcoNetGen package in your browser

Any scripts or data that you put into this service are public.

EcoNetGen documentation built on Aug. 27, 2023, 9:07 a.m.