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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 |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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