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.
An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.
Version: | 0.2.2 |
Depends: | R (≥ 3.5.0) |
Imports: | bnlearn, dplyr, ggplot2, gRain, gRbase, graphics, igraph, methods, purrr, qgraph, RColorBrewer, reshape2, rlang, tidyr |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2024-09-23 |
DOI: | 10.32614/CRAN.package.bnmonitor |
Author: | Manuele Leonelli [aut, cre], Ramsiya Ramanathan [aut], Rachel Wilkerson [aut] |
Maintainer: | Manuele Leonelli <manuele.leonelli at ie.edu> |
License: | GPL-3 |
URL: | https://manueleleonelli.github.io/bnmonitor/, https://github.com/manueleleonelli/bnmonitor |
NeedsCompilation: | no |
Citation: | bnmonitor citation info |
Materials: | README |
CRAN checks: | bnmonitor results |
Reference manual: | bnmonitor.pdf |
Package source: | bnmonitor_0.2.2.tar.gz |
Windows binaries: | r-devel: bnmonitor_0.2.2.zip, r-release: bnmonitor_0.2.2.zip, r-oldrel: bnmonitor_0.2.2.zip |
macOS binaries: | r-release (arm64): bnmonitor_0.2.2.tgz, r-oldrel (arm64): bnmonitor_0.2.2.tgz, r-release (x86_64): bnmonitor_0.2.2.tgz, r-oldrel (x86_64): bnmonitor_0.2.2.tgz |
Old sources: | bnmonitor archive |
Please use the canonical form https://CRAN.R-project.org/package=bnmonitor 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.