An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of covariation 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 parentchild monitors. References: H. Chan, A. Darwiche (2002) <doi:10.1613/jair.967>; R.G. Cowell, R.J. Verrall, Y.K. Yoon (2007) <doi:10.1111/j.15396975.2007.00235.x>; C. Goergen, M. Leonelli (2020) <ArXiv:1809.10794>.
Package details 


Author  Manuele Leonelli [aut, cre], Ramsiya Ramanathan [aut], Rachel Wilkerson [aut] 
Maintainer  Manuele Leonelli <manuele.leonelli@ie.edu> 
License  GPL3 
Version  0.1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.