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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
 [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:
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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.