dbnR: Dynamic Bayesian Network Learning and Inference

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 two structure learning algorithms for dynamic Bayesian networks and the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package.

Getting started

Package details

AuthorDavid Quesada [aut, cre], Gabriel Valverde [ctb]
MaintainerDavid Quesada <dkesada@gmail.com>
URL https://github.com/dkesada/dbnR
Package repositoryView on CRAN
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dbnR documentation built on Oct. 23, 2020, 7:59 p.m.