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robber
View on CRAN: Click
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Download and install robber package within the R console
Install from CRAN:
install.packages("robber")
Install from Github:
library("remotes")
install_github("cran/robber") Install by package version:
library("remotes")
install_version("robber", "0.2.4") Attach the package and use:
library("robber")
Maintained by
Saint-Clair Chabert-Liddell
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-20
Latest Update: 2024-02-07
Description:
Implementation of a variety of methods to compute
the robustness of ecological interaction networks with binary interactions
as described in . 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.
How to cite:
Saint-Clair Chabert-Liddell (2021). robber: Using Block Model to Estimate the Robustness of Ecological Network. R package version 0.2.4, https://cran.r-project.org/web/packages/robber. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Complete documentation for robber
Functions, R codes and Examples using
the robber R package
Some associated functions: auc_robustness_lbm . compare_robustness . get_lbm_param . hostparasite . pipe . plot.robber . pollination . robustness_emp . robustness_lbm . seeddispersal . simulate_lbm . var_auc_unif_lbm . var_fun_unif_lbm .
Some associated R codes: compare_robustness.R . get_bm_parameters.R . hostparasite.R . pollination.R . robustness_bm.R . robustness_emp.R . seeddispersal.R . simulate_bm.R . utils-pipe.R . variance.R . zzz.R . Full robber package functions and examples
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