eicm: Explicit Interaction Community Models

Model fitting and species biotic interaction network topology selection for explicit interaction community models. Explicit interaction community models are an extension of binomial linear models for joint modelling of species communities, that incorporate both the effects of species biotic interactions and the effects of missing covariates. Species interactions are modelled as direct effects of each species on each of the others, and are estimated alongside the effects of missing covariates, modelled as latent factors. The package includes a penalized maximum likelihood fitting function, and a genetic algorithm for selecting the most parsimonious species interaction network topology.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: methods, parallel, GA (≥ 3.1.1), snow, doSNOW, iterators, pso, ucminf, foreach, graphics, optimParallel
Suggests: igraph, knitr, rmarkdown
Published: 2023-05-05
DOI: 10.32614/CRAN.package.eicm
Author: Miguel Porto ORCID iD [aut, cre], Pedro Beja ORCID iD [aut]
Maintainer: Miguel Porto <mpbertolo at gmail.com>
BugReports: https://github.com/miguel-porto/eicm
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/miguel-porto/eicm
NeedsCompilation: yes
Materials: README
In views: MissingData
CRAN checks: eicm results


Reference manual: eicm.pdf
Vignettes: Explicit Interaction Community Models


Package source: eicm_1.0.3.tar.gz
Windows binaries: r-devel: eicm_1.0.3.zip, r-release: eicm_1.0.3.zip, r-oldrel: eicm_1.0.3.zip
macOS binaries: r-release (arm64): eicm_1.0.3.tgz, r-oldrel (arm64): eicm_1.0.3.tgz, r-release (x86_64): eicm_1.0.3.tgz, r-oldrel (x86_64): eicm_1.0.3.tgz
Old sources: eicm archive


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