The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

metaweave

Spatial ecological network inference from species distributions and supplied interaction models. Supports species-pair probabilities, stochastic block models, and directed constrained network ensembles.

Installation

Install the release from CRAN when available:

install.packages("metaweave")

A minimal example

library(metaweave)
p <- matrix(c(0.8, 0.2, 0.3, 0.7), 2, byrow = TRUE,
            dimnames = list(c("plant_a", "plant_b"), c("animal_x", "animal_y")))
model <- probability_matrix_model(p, "plants", "animals")
site <- new_assemblage(list(plants = c("plant_a", "plant_b"), animals = "animal_x"))
network <- infer_network(site, model)
summarize_network(network)

For a complete runnable spatial example, use vignette("getting-started", package = "metaweave"). The tutorial uses synthetic data; publication case studies are distributed separately. Use citation("metaweave") for the software citation.

Author, maintainer and copyright holder: Gabriel Munoz, Concordia University. Contact: gmunozacevedo@proton.me. License: MIT.

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.
Health stats visible at Monitor.