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:Francisco Rodriguez-Sanchez [aut, cre]

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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'))

Peer review:

Bug tracker:https://github.com/pakillo/bayesiannetworks/issues

Datasets:
  • web - Plant-pollinator network

On CRAN:

12 exports 7 stars 1.31 score 58 dependencies 6 scripts

Last updated 2 months agofrom:8436b0b165. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 15 2024
R-4.5-winOKAug 15 2024
R-4.5-linuxOKAug 15 2024
R-4.4-winOKAug 15 2024
R-4.4-macOKAug 15 2024
R-4.3-winOKAug 15 2024
R-4.3-macOKAug 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