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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 ORCID iD [cre, aut], Richard Stafford ORCID iD [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:

Reference manual: bbnet.pdf
Vignettes: bbnet

Downloads:

Package source: bbnet_1.0.1.tar.gz
Windows binaries: r-devel: bbnet_1.0.1.zip, r-release: bbnet_1.0.1.zip, r-oldrel: bbnet_1.0.1.zip
macOS binaries: r-release (arm64): bbnet_1.0.1.tgz, r-oldrel (arm64): bbnet_1.0.1.tgz, r-release (x86_64): bbnet_1.0.1.tgz, r-oldrel (x86_64): bbnet_1.0.1.tgz
Old sources: bbnet archive

Linking:

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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.