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>.

Version: 0.2.1
Imports: igraph, ggplot2
Suggests: spelling, testthat, covr, ggraph
Published: 2018-08-11
Author: Marcus de Aguiar ORCID iD [aut, cph], Erica Newman ORCID iD [aut], Mathias Pires ORCID iD [aut], NIMBioS [fnd], Carl Boettiger ORCID iD [aut, cre]
Maintainer: Carl Boettiger <cboettig at gmail.com>
BugReports: https://github.com/cboettig/EcoNetGen/issues
License: GPL-3
URL: https://github.com/cboettig/EcoNetGen
NeedsCompilation: yes
Language: en-US
Citation: EcoNetGen citation info
Materials: README NEWS
CRAN checks: EcoNetGen results

Downloads:

Reference manual: EcoNetGen.pdf
Package source: EcoNetGen_0.2.1.tar.gz
Windows binaries: r-devel: EcoNetGen_0.2.1.zip, r-release: EcoNetGen_0.2.1.zip, r-oldrel: EcoNetGen_0.2.1.zip
OS X binaries: r-release: EcoNetGen_0.2.1.tgz, r-oldrel: EcoNetGen_0.2.1.tgz
Old sources: EcoNetGen archive

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