robber: Using Block Model to Estimate the Robustness of Ecological Network

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 ORCID iD [aut, cre]
Maintainer: Saint-Clair Chabert-Liddell <academic at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: robber citation info
Materials: README NEWS
In views: MissingData
CRAN checks: robber results


Reference manual: robber.pdf
Vignettes: topological-analysis


Package source: robber_0.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robber_0.2.4.tgz, r-oldrel (arm64): robber_0.2.4.tgz, r-release (x86_64): robber_0.2.4.tgz, r-oldrel (x86_64): robber_0.2.4.tgz
Old sources: robber archive


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