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) <doi:10.48550/arXiv.1708.01242>.

Version: 0.2.4
Imports: igraph, ggplot2
Suggests: spelling, testthat, covr, ggraph
Published: 2023-08-27
DOI: 10.32614/CRAN.package.EcoNetGen
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
In views: NetworkAnalysis
CRAN checks: EcoNetGen results

Documentation:

Reference manual: EcoNetGen.html , EcoNetGen.pdf

Downloads:

Package source: EcoNetGen_0.2.4.tar.gz
Windows binaries: r-devel: EcoNetGen_0.2.4.zip, r-release: EcoNetGen_0.2.4.zip, r-oldrel: EcoNetGen_0.2.4.zip
macOS binaries: r-release (arm64): EcoNetGen_0.2.4.tgz, r-oldrel (arm64): EcoNetGen_0.2.4.tgz, r-release (x86_64): EcoNetGen_0.2.4.tgz, r-oldrel (x86_64): EcoNetGen_0.2.4.tgz
Old sources: EcoNetGen archive

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