Package: bbnet 1.1.0

bbnet: Create Simple Predictive Models on Bayesian Belief Networks

A system to build, visualise and evaluate Bayesian belief networks. The methods are described in Stafford et al. (2015) <doi:10.12688/f1000research.5981.1>.

Authors:Victoria Dominguez Almela [cre, aut], Richard Stafford [cph, aut]

bbnet_1.1.0.tar.gz
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bbnet.pdf |bbnet.html✨
bbnet/json (API)
NEWS

# Install 'bbnet' in R:
install.packages('bbnet', repos = c('https://vda1r22.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vda1r22/bbnet/issues

Datasets:
  • MPANetwork - Simple model of MPA, ecological components and management
  • NoPotting - Dataset represents banning potting (for crabs / lobsters etc) in a Marine Protected Area Data presents insights into how management measures may affect ecological communities in MPAs
  • NoTake - Dataset represents banning all fishing in a Marine Protected Area
  • combined - Combined Treatment Data
  • dogwhelk - Dogwhelk Removal Data
  • my_BBN - Rocky Shore simple food web data
  • my_network - Rocky Shore complex food web data
  • winkle - Winkle Addition Data

On CRAN:

Conda:

4.30 score 9 scripts 246 downloads 7 exports 33 dependencies

Last updated 2 months agofrom:7b01de0ae9. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winOKMar 24 2025
R-4.5-macOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:bbn.network.diagrambbn.predictbbn.sensitivitybbn.timeseriesbbn.visualiseisEmptymultiplot

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

bbnet

Rendered frombbnet.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2024-05-18
Started: 2024-03-22