Package: econetwork 0.7.0

Vincent Miele

econetwork: Analyzing Ecological Networks

A collection of advanced tools, methods and models specifically designed for analyzing different types of ecological networks - especially antagonistic (food webs, host-parasite), mutualistic (plant-pollinator, plant-fungus, etc) and competitive networks, as well as their variability in time and space. Statistical models are developed to describe and understand the mechanisms that determine species interactions, and to decipher the organization of these ecological networks (Ohlmann et al. (2019) <doi:10.1111/ele.13221>, Gonzalez et al. (2020) <doi:10.1101/2020.04.02.021691>, Miele et al. (2021) <doi:10.48550/arXiv.2103.10433>, Botella et al (2021) <doi:10.1111/2041-210X.13738>).

Authors:Vincent Miele [aut, cre], Catherine Matias [ctb], Stephane Dray [ctb], Christophe Botella [ctb], Marc Ohlmann [ctb], Giovanni Poggiato [ctb], Wilfried Thuiller [ctb]

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econetwork.pdf |econetwork.html
econetwork/json (API)

# Install 'econetwork' in R:
install.packages('econetwork', repos = c('https://vmielecnrs.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • virtualComCompetition - Dataset simulated with communities whose composition is driven simultaneously by biotic (competition) and abiotic environmental effects.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 43 dependencies 11 scripts 377 downloads

Last updated 2 years agofrom:2132e99e89. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-win-x86_64OKAug 28 2024
R-4.5-linux-x86_64OKAug 28 2024
R-4.4-win-x86_64OKAug 28 2024
R-4.4-mac-x86_64OKAug 28 2024
R-4.4-mac-aarch64OKAug 28 2024
R-4.3-win-x86_64OKAug 28 2024
R-4.3-mac-x86_64OKAug 28 2024
R-4.3-mac-aarch64OKAug 28 2024

Exports:cpnessdisPairwisedivPartitionelgrinembeddinggetMetaweb

Dependencies:bipartiteblockmodelscliclustercodacpp11digestdotCall64fansifieldsglueigraphlatticelifecyclemagrittrmapsMASSMatrixmgcvnetworknlmepermutepillarpkgconfigplyrRcppRcppArmadilloRcppEigenRcppGSLrdiversityreshape2rlangsnaspamstatnet.commonstringdiststringistringrtibbleutf8vctrsveganviridisLite