Package: bbnet 1.0.1
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:
bbnet_1.0.1.tar.gz
bbnet_1.0.1.zip(r-4.5)bbnet_1.0.1.zip(r-4.4)bbnet_1.0.1.zip(r-4.3)
bbnet_1.0.1.tgz(r-4.4-any)bbnet_1.0.1.tgz(r-4.3-any)
bbnet_1.0.1.tar.gz(r-4.5-noble)bbnet_1.0.1.tar.gz(r-4.4-noble)
bbnet_1.0.1.tgz(r-4.4-emscripten)bbnet_1.0.1.tgz(r-4.3-emscripten)
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
- 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
Last updated 6 months agofrom:bc2e2d43c3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:bbn.network.diagrambbn.predictbbn.sensitivitybbn.timeseriesbbn.visualiseisEmptymultiplot
Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr
