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dbnlearn  

Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
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
[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 22 Dec. 2024.
Previous versions and publish date:
No previous versions
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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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