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:
econetwork_0.7.0.tar.gz
econetwork_0.7.0.tar.gz(r-4.5-noble)econetwork_0.7.0.tar.gz(r-4.4-noble)
econetwork_0.7.0.tgz(r-4.4-emscripten)econetwork_0.7.0.tgz(r-4.3-emscripten)
econetwork.pdf |econetwork.html✨
econetwork/json (API)
# Install 'econetwork' in R: |
install.packages('econetwork', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- virtualComCompetition - Dataset simulated with communities whose composition is driven simultaneously by biotic (competition) and abiotic environmental effects.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:2132e99e89. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux-x86_64 | OK | Nov 27 2024 |
Exports:cpnessdisPairwisedivPartitionelgrinembeddinggetMetaweb
Dependencies:bipartiteblockmodelscliclustercodacpp11digestdotCall64fansifieldsglueigraphlatticelifecyclemagrittrmapsMASSMatrixmgcvnetworknlmepermutepillarpkgconfigplyrRcppRcppArmadilloRcppEigenRcppGSLrdiversityreshape2rlangsnaspamstatnet.commonstringdiststringistringrtibbleutf8vctrsveganviridisLite