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:Francisco Rodriguez-Sanchez [aut, cre]

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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

Datasets:
  • web - Plant-pollinator network

On CRAN:

Conda-Forge:

3.68 score 12 stars 3 scripts 12 exports 58 dependencies

Last updated 3 months agofrom:d8745cbf53. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 24 2025
R-4.5-winOKFeb 24 2025
R-4.5-macOKFeb 24 2025
R-4.5-linuxOKFeb 24 2025
R-4.4-winOKFeb 24 2025
R-4.4-macOKFeb 24 2025
R-4.3-winOKFeb 24 2025
R-4.3-macOKFeb 24 2025

Exports:check_modelfit_modelget_posteriorget_seedplot_counts_obsplot_counts_predplot_counts_pred_obsplot_interaction_probplot_priorplot_residualspredict_countsprepare_data

Dependencies:abindarrayhelpersbackportscheckmateclicmdstanrcodacolorspacecpp11data.tabledistributionaldplyrfansifarvergenericsggdistggplot2gluegtablegtoolsisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnetwork.toolsnlmenumDerivpillarpkgconfigposteriorprocessxpspurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr