Package: eicm 1.0.3
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.
Authors:
eicm_1.0.3.tar.gz
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eicm.pdf |eicm.html✨
eicm/json (API)
# Install 'eicm' in R: |
install.packages('eicm', repos = c('https://miguel-porto.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/miguel-porto/eicm/issues
- truemodel - A parameterized EICM model for simulation
community-modelingecological-modellinginteraction-networkjoint-modelsjsdmmissing-covariatesspecies-distribution-modellingspecies-interactions
Last updated 2 years agofrom:f6955860cc. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win-x86_64 | NOTE | Nov 21 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 21 2024 |
R-4.4-win-x86_64 | NOTE | Nov 21 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 21 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 21 2024 |
R-4.3-win-x86_64 | NOTE | Nov 21 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 21 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 21 2024 |
Exports:as.eicmcoefficientComparisonPloteicmeicm.dataeicm.fiteicm.matrixeicm.optionsgenerateEICMinteractionPlotisCyclicplotNetworkFromMatrix
Dependencies:clicodetoolscrayondoSNOWforeachGAiteratorsoptimParallelpsoRcppRcppArmadillosnowucminf