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]

BayesianWebs_0.0.7.tar.gz
BayesianWebs_0.0.7.zip(r-4.7)BayesianWebs_0.0.7.zip(r-4.6)BayesianWebs_0.0.7.zip(r-4.5)
BayesianWebs_0.0.7.tgz(r-4.6-any)BayesianWebs_0.0.7.tgz(r-4.5-any)
BayesianWebs_0.0.7.tar.gz(r-4.7-any)BayesianWebs_0.0.7.tar.gz(r-4.6-any)
BayesianWebs_0.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://pakillo.github.io

Datasets:
  • web - Plant-pollinator network

On CRAN:

Conda:

2.81 score 13 stars 3 scripts 12 exports 48 dependencies

Last updated from:d8745cbf53. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK171
source / vignettesOK202
linux-release-x86_64OK156
macos-release-arm64OK96
macos-oldrel-arm64OK127
windows-develOK136
windows-releaseOK175
windows-oldrelOK107
wasm-releaseOK127

Exports:check_modelfit_modelget_posteriorget_seedplot_counts_obsplot_counts_predplot_counts_pred_obsplot_interaction_probplot_priorplot_residualspredict_countsprepare_data

Dependencies:abindarrayhelpersbackportscheckmateclicmdstanrcodacpp11distributionaldplyrfarvergenericsggdistggplot2gluegtablegtoolsisobandlabelinglatticelifecyclemagrittrmatrixStatsnetwork.toolsnumDerivpillarpkgconfigposteriorpurrrquadprogR6RColorBrewerRcpprlangS7scalesstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr