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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 |
| Author: |
Miguel Porto 
[aut, cre],
Pedro Beja [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 |
Documentation:
Downloads:
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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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