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 [aut, cph], Erica Newman [aut], Mathias Pires [aut], NIMBioS [fnd], Carl Boettiger [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=EcoNetGen to link to this page.
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