Package: dbnR
Type: Package
Title: Dynamic Bayesian Network Learning and Inference
Version: 0.8.1
Authors@R: c(
    person("David", "Quesada", email = "dkesada@gmail.com", role = c("aut", "cre")),
    person("Gabriel", "Valverde", email = "gabrielvalverdecastilla@gmail.com", role = "ctb"))
Description: 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 three structure
        learning algorithms for dynamic Bayesian networks: Trabelsi G.
        (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and
        Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D.,
        Bielza C. and Larrañaga P. (2021)
        <doi:10.1007/978-3-030-86271-8_14>. It also offers the
        possibility to perform forecasts of arbitrary length. A tool
        for visualizing the structure of the net is also provided via
        the 'visNetwork' package. Further detailed information and
        examples can be found in our Journal of Statistical Software
        paper Quesada D., Larrañaga P. and Bielza C. (2025)
        <doi:10.18637/jss.v115.i06>.
Depends: R (>= 3.5.0), bnlearn (>= 4.5)
Imports: data.table (>= 1.12.4), Rcpp (>= 1.0.2), magrittr (>= 1.5), R6
        (>= 2.4.1), stats (>= 3.6.0), MASS (>= 7.3-55)
Suggests: visNetwork (>= 2.0.8), grDevices (>= 3.6.0), utils (>=
        3.6.0), graphics (>= 3.6.0), testthat (>= 2.1.0)
LinkingTo: Rcpp
URL: https://github.com/dkesada/dbnR
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Roxygen: list(r6 = FALSE)
Repository: https://dkesada.r-universe.dev
Date/Publication: 2026-04-23 10:34:36 UTC
RemoteUrl: https://github.com/dkesada/dbnr
RemoteRef: HEAD
RemoteSha: a03886c36c5eb5b7ec07f1e9d0f4614461def67c
NeedsCompilation: yes
Packaged: 2026-06-22 10:27:54 UTC; root
Author: David Quesada [aut, cre],
  Gabriel Valverde [ctb]
Maintainer: David Quesada <dkesada@gmail.com>