Package: dbnlearn
Type: Package
Title: Dynamic Bayesian Network Structure Learning, Parameter Learning
        and Forecasting
Version: 0.1.0
Depends: R (>= 3.4)
Authors@R: person("Robson", "Fernandes", email = "robson.fernandes@usp.br", role = c("aut", "cre", "cph"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Repository: CRAN
Imports: bnlearn, bnviewer, ggplot2
NeedsCompilation: no
Packaged: 2020-07-24 15:01:02 UTC; robsonfernandes
Author: Robson Fernandes [aut, cre, cph]
Maintainer: Robson Fernandes <robson.fernandes@usp.br>
Date/Publication: 2020-07-30 10:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 09:52:30 UTC; unix
