Implementation of a variety of methods to compute the robustness of ecological interaction networks with binary interactions as described in <doi:10.1002/env.2709>. In particular, using the Stochastic Block Model and its bipartite counterpart, the Latent Block Model to put a parametric model on the network, allows the comparison of the robustness of networks differing in species richness and number of interactions. It also deals with networks that are partially sampled and/or with missing values.
Version: 0.2.4 Depends: R (≥ 3.5) Imports: blockmodels (≥ 1.1.2), ggplot2, GREMLINS, igraph, magrittr, pammtools, partitions, purrr, stats Suggests: dplyr, forcats, knitr, patchwork, pbmcapply, RColorBrewer, rmarkdown, spelling, testthat, tibble, tidyr Published: 2024-02-07 DOI: 10.32614/CRAN.package.robber Author: Saint-Clair Chabert-Liddell [aut, cre] Maintainer: Saint-Clair Chabert-Liddell <academic at chabert-liddell.com> BugReports: https://github.com/Chabert-Liddell/robber/issues License: GPL-3 URL: https://github.com/Chabert-Liddell/robber NeedsCompilation: no Language: en-US Citation: robber citation info Materials: README NEWS In views: MissingData CRAN checks: robber results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=robber to link to this page.
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