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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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0), dplyr, ggplot2, grid, igraph, tibble |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2024-05-18 |
| DOI: |
10.32614/CRAN.package.bbnet |
| Author: |
Victoria Dominguez Almela
 [cre, aut],
Richard Stafford
[cph, aut] |
| Maintainer: |
Victoria Dominguez Almela <vda1r22 at soton.ac.uk> |
| BugReports: |
https://github.com/vda1r22/bbnet/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/vda1r22/bbnet |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
bbnet results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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