Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the 'bnlearn' package to learn the networks from data and perform exact inference. It offers three structure learning algorithms for dynamic Bayesian networks: Trabelsi G. (2013) <doi:10.1007/9783642413988_34>, Santos F.P. and Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021) <doi:10.1007/9783030862718_14>. It also offers the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package.
Package details 


Author  David Quesada [aut, cre], Gabriel Valverde [ctb] 
Maintainer  David Quesada <dkesada@gmail.com> 
License  GPL3 
Version  0.7.9 
URL  https://github.com/dkesada/dbnR 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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