Robustness of real bipartite ecological networks | Analyzing the robustness of a host-parasite network | Comparing the robustness of 3 networks | Comparing the influence of mesoscale structure on robustness | Influence of the mesoscale structure on the variability of the robustness
Package: robber 0.2.4
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.
Authors:
robber_0.2.4.tar.gz
robber_0.2.4.zip(r-4.7)robber_0.2.4.zip(r-4.6)robber_0.2.4.zip(r-4.5)
robber_0.2.4.tgz(r-4.6-any)robber_0.2.4.tgz(r-4.5-any)
robber_0.2.4.tar.gz(r-4.7-any)robber_0.2.4.tar.gz(r-4.6-any)
robber_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
robber/json (API)
| # Install 'robber' in R: |
| install.packages('robber', repos = c('https://chabert-liddell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chabert-liddell/robber/issues
Datasets:
- hostparasite - A binarized host-parasite network
- pollination - A plant-pollinator network
- seeddispersal - A seed-dispersal network
ecological-networkrobberrobustness
Last updated from:71d9368f2d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 219 | ||
| linux-release-x86_64 | OK | 175 | ||
| macos-release-arm64 | OK | 203 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 97 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 161 |
Exports:%>%auc_robustness_lbmcompare_robustnessget_lbm_paramrobustness_emprobustness_lbmsimulate_lbmvar_auc_unif_lbmvar_fun_unif_lbm
Dependencies:aricodebackportsbase64encblockmodelsbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tablediagramdigestdoParalleldplyrevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2glmnetglobalsgluegmpGREMLINSgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalazyevallifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmvtnormnlmennetnumDerivpammtoolsparallellypartitionspbmcapplypecpillarpkgconfigplotrixpolsplinepolynomprodlimprogressrPublishpurrrquantregR6rangerrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesscamsetsshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytexutf8vctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast computation of the LBM robustness statistic for uniform extinctions | auc_robustness_lbm |
| Compare the robustness for different LBM parameters | compare_robustness |
| Estimate the parameters of a LBM | get_lbm_param |
| A binarized host-parasite network | hostparasite |
| Plot function pour robber class | plot.robber |
| A plant-pollinator network | pollination |
| Empirical Robustness of a Network | robustness_emp |
| Robustness for LBM | robustness_lbm |
| A seed-dispersal network | seeddispersal |
| Simulate a bipartite interaction network using block model | simulate_lbm |
| Compute the Conditional variance of the AUC of the LBM Robustness | var_auc_unif_lbm |
| Compute the Conditional variance of the LBM Robustness term by term | var_fun_unif_lbm |
