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bnmonitor  

An Implementation of Sensitivity Analysis in Bayesian Networks
View on CRAN: Click here


Download and install bnmonitor package within the R console
Install from CRAN:
install.packages("bnmonitor")

Install from Github:
library("remotes")
install_github("cran/bnmonitor")

Install by package version:
library("remotes")
install_version("bnmonitor", "0.2.2")



Attach the package and use:
library("bnmonitor")
Maintained by
Manuele Leonelli
[Scholar Profile | Author Map]
First Published: 2021-02-08
Latest Update: 2023-06-02
Description:
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. References: H. Chan, A. Darwiche (2002) ; C. Goergen, M. Leonelli (2020) ; M. Leonelli, R. Ramanathan, R.L. Wilkerson (2021) .
How to cite:
Manuele Leonelli (2021). bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks. R package version 0.2.2, https://cran.r-project.org/web/packages/bnmonitor. Accessed 02 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-02-08 11:50), 0.1.1 (2021-07-08 14:00), 0.1.2 (2022-03-15 09:10), 0.1.3 (2022-04-20 10:22), 0.1.4 (2023-06-03 00:30), 0.2.0 (2024-07-13 15:50), 0.2.1 (2024-09-20 14:50)
Other packages that cited bnmonitor R package
View bnmonitor citation profile
Other R packages that bnmonitor depends, imports, suggests or enhances
Complete documentation for bnmonitor
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