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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 
[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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=EcoNetGen
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.