[aut, cph],
Erica Newman
[aut],
Mathias Pires
[aut],
NIMBioS [fnd],
Carl Boettiger
[aut, cre]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: | 0.2.3 |
| Imports: | igraph, ggplot2 |
| Suggests: | spelling, testthat, covr, ggraph |
| Published: | 2019-07-13 |
| 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 |
| CRAN checks: | EcoNetGen results |
| Reference manual: | EcoNetGen.pdf |
| Package source: | EcoNetGen_0.2.3.tar.gz |
| Windows binaries: | r-devel: EcoNetGen_0.2.3.zip, r-release: EcoNetGen_0.2.3.zip, r-oldrel: EcoNetGen_0.2.3.zip |
| macOS binaries: | r-release: EcoNetGen_0.2.3.tgz, r-oldrel: EcoNetGen_0.2.3.tgz |
| Old sources: | EcoNetGen archive |
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