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.zip(r-4.7-x86_64)EcoNetGen_0.2.4.zip(r-4.7-arm64)EcoNetGen_0.2.4.zip(r-4.6-x86_64)EcoNetGen_0.2.4.zip(r-4.6-arm64)
EcoNetGen_0.2.4.tar.gz(r-4.7-arm64)EcoNetGen_0.2.4.tar.gz(r-4.7-x86_64)EcoNetGen_0.2.4.tar.gz(r-4.6-arm64)EcoNetGen_0.2.4.tar.gz(r-4.6-x86_64)
EcoNetGen_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EcoNetGen/json (API)

# 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

On CRAN:

Conda:

fortran

1.74 score 11 scripts 393 downloads 1 mentions 3 exports 22 dependencies

Last updated from:b1da20b4a2. Checks:9 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK100
linux-devel-x86_64OK143
source / vignettesOK210
linux-release-arm64OK100
linux-release-x86_64OK135
windows-devel-arm64OK217
windows-devel-x86_64OK144
windows-release-arm64WARNING207
windows-release-x86_64OK99
wasm-releaseOK105

Exports:adj_plotnetgennetsampler

Dependencies:clicpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMatrixpkgconfigR6RColorBrewerrlangS7scalesvctrsviridisLitewithr