Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting R package dbnlearn version 0.1.0 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) <doi:10.1201/b10391> and Nagarajan, Scutari and Lèbre (2013) <doi:10.1007/978-1-4614-6446-4>. Software Depends: R (>= 3.4) Imports: bnlearn, bnviewer, ggplot2 Robson Fernandes <robson.fernandes@usp.br> Comprehensive R Archive Network (CRAN) Robson Fernandes [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=dbnlearn/LICENSE) 2020-07-30 application/tgz https://CRAN.R-project.org/package=dbnlearn doi:10.32614/CRAN.package.dbnlearn