Package: BayesianWebs 0.0.7
BayesianWebs: Bayesian Modelling of Bipartite Networks
Bayesian modelling of bipartite network structure, following the approach of Young et al. <doi:10.1038/s41467-021-24149-x>.
Authors:
BayesianWebs_0.0.7.tar.gz
BayesianWebs_0.0.7.zip(r-4.5)BayesianWebs_0.0.7.zip(r-4.4)BayesianWebs_0.0.7.zip(r-4.3)
BayesianWebs_0.0.7.tgz(r-4.4-any)BayesianWebs_0.0.7.tgz(r-4.3-any)
BayesianWebs_0.0.7.tar.gz(r-4.5-noble)BayesianWebs_0.0.7.tar.gz(r-4.4-noble)
BayesianWebs_0.0.7.tgz(r-4.4-emscripten)BayesianWebs_0.0.7.tgz(r-4.3-emscripten)
BayesianWebs.pdf |BayesianWebs.html✨
BayesianWebs/json (API)
| # Install 'BayesianWebs' in R: |
| install.packages('BayesianWebs', repos = c('https://pakillo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pakillo/bayesianwebs/issues
Pkgdown site:https://pakillo.github.io
- web - Plant-pollinator network
Last updated 10 days agofrom:d8745cbf53. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 26 2024 |
| R-4.5-win | OK | Dec 26 2024 |
| R-4.5-linux | OK | Dec 26 2024 |
| R-4.4-win | OK | Dec 26 2024 |
| R-4.4-mac | OK | Dec 26 2024 |
| R-4.3-win | OK | Dec 26 2024 |
| R-4.3-mac | OK | Dec 26 2024 |
Exports:check_modelfit_modelget_posteriorget_seedplot_counts_obsplot_counts_predplot_counts_pred_obsplot_interaction_probplot_priorplot_residualspredict_countsprepare_data
Dependencies:abindarrayhelpersbackportscheckmateclicmdstanrcodacolorspacecpp11distributionaldplyrfansifarvergenericsggdistggplot2gluegtablegtoolsisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnetwork.toolsnlmenumDerivpillarpkgconfigposteriorpurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check fitted model | check_model |
| Fit model | fit_model |
| Get posterior values | get_posterior |
| Get seed used to fit a model | get_seed |
| Plot heatmap of observed counts | plot_counts_obs |
| Plot heatmap of predicted counts | plot_counts_pred |
| Plot predicted versus observed counts | plot_counts_pred_obs |
| Plot heatmap of interaction probabilities | plot_interaction_prob |
| Plot prior distribution for r (preference) parameter | plot_prior |
| Plot heatmap of residuals | plot_residuals |
| Predict interaction counts | predict_counts |
| Prepare the data for modelling | prepare_data |
| Plant-pollinator network | web |
