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 <arXiv:1910.10512>. 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: 0.2.2
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, tidyverse
Published: 2021-09-20
Author: Saint-Clair Chabert-Liddell ORCID iD [aut, cre]
Maintainer: Saint-Clair Chabert-Liddell <saint-clair.chabert-liddell at agroparistech.fr>
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
CRAN checks: robber results

Documentation:

Reference manual: robber.pdf
Vignettes: topological-analysis

Downloads:

Package source: robber_0.2.2.tar.gz
Windows binaries: r-devel: robber_0.2.2.zip, r-release: robber_0.2.2.zip, r-oldrel: robber_0.2.2.zip
macOS binaries: r-release (arm64): robber_0.2.2.tgz, r-release (x86_64): robber_0.2.2.tgz, r-oldrel: robber_0.2.2.tgz

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