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
RoxygenNote: 7.1.1
Imports: bnlearn, bnviewer, ggplot2
Config/pak/sysreqs: cmake libglpk-dev make libuv1-dev libxml2-dev
        zlib1g-dev
Repository: https://robson-fernandes.r-universe.dev
Date/Publication: 2020-09-10 02:42:11 UTC
RemoteUrl: https://github.com/robson-fernandes/dbnlearn
RemoteRef: HEAD
RemoteSha: 85b4c065496d197c63c9c9e240e55e152eb1dbc0
NeedsCompilation: no
Packaged: 2026-10-09 11:58:40 UTC; root
Author: Robson Fernandes [aut, cre, cph]
Maintainer: Robson Fernandes <robson.fernandes@usp.br>