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dbnlearn
View on CRAN: Click
here
Download and install dbnlearn package within the R console
Install from CRAN:
install.packages("dbnlearn")
Install from Github:
library("remotes")
install_github("cran/dbnlearn") Install by package version:
library("remotes")
install_version("dbnlearn", "0.1.0") Attach the package and use:
library("dbnlearn")
Maintained by
Robson Fernandes
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-30
Latest Update: 2020-07-30
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) and
Nagarajan, Scutari and L
How to cite:
Robson Fernandes (2020). dbnlearn: Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting. R package version 0.1.0, https://cran.r-project.org/web/packages/dbnlearn. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for dbnlearn
Functions, R codes and Examples using
the dbnlearn R package
Some associated functions: dbn.fit . dbn.learn . dbn.predict . dbn.preprocessing . dbnlearn-package .
Some associated R codes: dbnlearn.R . Full dbnlearn package functions and examples
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