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eicm
View on CRAN: Click
here
Download and install eicm package within the R console
Install from CRAN:
install.packages("eicm")
Install from Github:
library("remotes")
install_github("cran/eicm")
Install by package version:
library("remotes")
install_version("eicm", "1.0.3")
Attach the package and use:
library("eicm")
Maintained by
Miguel Porto
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-26
Latest Update: 2023-05-05
Description:
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.
How to cite:
Miguel Porto (2020). eicm: Explicit Interaction Community Models. R package version 1.0.3, https://cran.r-project.org/web/packages/eicm
Other packages that cited eicm R package
View eicm citation profile
Other R packages that eicm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the eicm R package
Some associated functions: as.eicm . coef.eicm . coefficientComparisonPlot . confint.eicm . eicm-package . eicm.data . eicm.fit . eicm.matrix . eicm . eicm.options . generateEICM . interactionPlot . isCyclic . logLik.eicm . plot.confint.eicm . plot.eicm.list . plot.eicm . plot.profile.eicm . plotNetworkFromMatrix . predict.eicm . print.eicm.matrix . profile.eicm . truemodel .
Some associated R codes: Full eicm package functions and examples
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