Explicit Interaction Community Models
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Miguel Porto <mpbertolo@gmail.com>’ The BugReports field in DESCRIPTION has https://github.com/miguel-porto/eicm which should likely be https://github.com/miguel-porto/eicm/issues instead.
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘snow’ All declared Imports should be used.
- NOTE9 OK, 4 NOTENow
- NOTE10 OK, 4 NOTE2026-03-10
Documentation
- Help pages
- 23includes a package overview page
- Examples that run
- 50%4 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 45%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/miguel-porto/eicm on 2026-10-22.
The R CMD check workflow runs on macOS
Dependencies
Installing eicm adds 12 packages (5 with compiled code, 8.9 MB of source tarballs). Heaviest: GA 4.8 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2023-05-06
- 1.0.3Latest2023-05-06 · current release · diff ↗ ·
added 3 exports
interactionPlot, isCyclic, plotNetworkFromMatrix - archivedRemoved from CRAN2023-05-05issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- unarchivedReturned to CRAN2020-10-20
- 1.0.12020-10-20 · diff ↗
- archivedRemoved from CRAN2020-10-02check issues were not corrected in time
- RR 4.0.0 released · 2020-04-24
- 1.0.02020-03-26
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-26
- Total releases
- 3 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 8.2 KB / 1 file
- Download size
- 600 KB
Cite
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citation("eicm")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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