Package: EcoNetGen 0.2.4

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>.

Authors:Marcus de Aguiar [aut, cph], Erica Newman [aut], Mathias Pires [aut], NIMBioS [fnd], Carl Boettiger [aut, cre]

EcoNetGen_0.2.4.tar.gz
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EcoNetGen.pdf |EcoNetGen.html✨
EcoNetGen/json (API)
NEWS

# Install 'EcoNetGen' in R:

install.packages('EcoNetGen', repos = c('https://cboettig.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cboettig/econetgen/issues

Uses libs:

fortran– Runtime library for GNU Fortran applications

On CRAN:

fortran

4.00 score 9 stars 11 scripts 220 downloads 1 mentions 3 exports 30 dependencies

Last updated 1 years agofrom:2624b8e719. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 05 2025
R-4.5-win-x86_64	OK	Jan 05 2025
R-4.5-linux-x86_64	OK	Jan 05 2025
R-4.4-win-x86_64	OK	Jan 05 2025
R-4.4-mac-x86_64	OK	Jan 05 2025
R-4.4-mac-aarch64	OK	Jan 05 2025
R-4.3-win-x86_64	OK	Jan 05 2025
R-4.3-mac-x86_64	OK	Jan 05 2025
R-4.3-mac-aarch64	OK	Jan 05 2025