Package: BayesianNetworks 0.0.7
BayesianNetworks: 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:
BayesianNetworks_0.0.7.tar.gz
BayesianNetworks_0.0.7.zip(r-4.5)BayesianNetworks_0.0.7.zip(r-4.4)BayesianNetworks_0.0.7.zip(r-4.3)
BayesianNetworks_0.0.7.tgz(r-4.4-any)BayesianNetworks_0.0.7.tgz(r-4.3-any)
BayesianNetworks_0.0.7.tar.gz(r-4.5-noble)BayesianNetworks_0.0.7.tar.gz(r-4.4-noble)
BayesianNetworks_0.0.7.tgz(r-4.4-emscripten)BayesianNetworks_0.0.7.tgz(r-4.3-emscripten)
BayesianNetworks.pdf |BayesianNetworks.html✨
BayesianNetworks/json (API)
# Install 'BayesianNetworks' in R: |
install.packages('BayesianNetworks', repos = c('https://pakillo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pakillo/bayesiannetworks/issues
- web - Plant-pollinator network
Last updated 2 months agofrom:8436b0b165. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 15 2024 |
R-4.5-win | OK | Aug 15 2024 |
R-4.5-linux | OK | Aug 15 2024 |
R-4.4-win | OK | Aug 15 2024 |
R-4.4-mac | OK | Aug 15 2024 |
R-4.3-win | OK | Aug 15 2024 |
R-4.3-mac | OK | Aug 15 2024 |
Exports:check_modelfit_modelget_posteriorget_seedplot_counts_obsplot_counts_predplot_counts_pred_obsplot_interaction_probplot_priorplot_residualspredict_countsprepare_data
Dependencies:abindarrayhelpersbackportscheckmateclicmdstanrcodacolorspacecpp11data.tabledistributionaldplyrfansifarvergenericsggdistggplot2gluegtablegtoolsisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnetwork.toolsnlmenumDerivpillarpkgconfigposteriorprocessxpspurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr
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 |