Package: EcoNetGen 0.2.4

Carl Boettiger

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
EcoNetGen_0.2.4.tar.gz(r-4.5-noble)EcoNetGen_0.2.4.tar.gz(r-4.4-noble)
EcoNetGen_0.2.4.tgz(r-4.4-emscripten)EcoNetGen_0.2.4.tgz(r-4.3-emscripten)
EcoNetGen.pdf |EcoNetGen.html
EcoNetGen/json (API)
NEWS

# Install 'EcoNetGen' in R:
install.packages('EcoNetGen', repos = c('https://cran.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

fortran

1.74 score 11 scripts 236 downloads 1 mentions 3 exports 30 dependencies

Last updated 1 years agofrom:b1da20b4a2. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 17 2025
R-4.5-linux-x86_64OKJan 17 2025

Exports:adj_plotnetgennetsampler

Dependencies:clicolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr