Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting

It allows to learn the structure of univariate time series, learning parameters and forecasting. Implements a model of Dynamic Bayesian Networks with temporal windows, with collections of linear regressors for Gaussian nodes, based on the introductory texts of Korb and Nicholson (2010) and Nagarajan, Scutari and L├Ębre (2013) .


Reference manual

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0.1.0 by Robson Fernandes, a year ago

Browse source code at https://github.com/cran/dbnlearn

Authors: Robson Fernandes [aut, cre, cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports bnlearn, bnviewer, ggplot2

See at CRAN