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DESCRIPTION
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DESCRIPTION
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Package: dbnR
Type: Package
Title: Dynamic Bayesian Network Learning and Inference
Version: 0.7.9
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.
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)