The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

bnRep: A Repository of Bayesian Networks from the Academic Literature

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()'. For details see <https://github.com/manueleleonelli/bnRep>.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: bnlearn, dplyr, DT, qgraph, shiny, shinyjs, shinythemes
Suggests: knitr, rmarkdown, ggplot2, scales, stringr, RColorBrewer
Published: 2024-09-20
DOI: 10.32614/CRAN.package.bnRep
Author: Manuele Leonelli ORCID iD [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli at ie.edu>
BugReports: https://github.com/manueleleonelli/bnRep/issues
License: MIT + file LICENSE
URL: https://github.com/manueleleonelli/bnRep
NeedsCompilation: no
Citation: bnRep citation info
Materials: README
CRAN checks: bnRep results

Documentation:

Reference manual: bnRep.pdf
Vignettes: overview (source, R code)

Downloads:

Package source: bnRep_0.0.1.tar.gz
Windows binaries: r-devel: bnRep_0.0.1.zip, r-release: bnRep_0.0.1.zip, r-oldrel: bnRep_0.0.1.zip
macOS binaries: r-release (arm64): bnRep_0.0.1.tgz, r-oldrel (arm64): bnRep_0.0.1.tgz, r-release (x86_64): bnRep_0.0.1.tgz, r-oldrel (x86_64): bnRep_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bnRep to link to this page.

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.
Health stats visible at Monitor.